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You searched for subject:(TensorFlow). Showing records 1 – 30 of 129 total matches.

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KTH

1. Adlers, Jacob. Prediction of training time for deep neural networks in TensorFlow.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

Machine learning has gained a lot of interest over the past years and is now used extensively in various areas. Google has developed a… (more)

Subjects/Keywords: Machine Learning; TensorFlow; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Adlers, J. (2018). Prediction of training time for deep neural networks in TensorFlow. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229423

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Adlers, Jacob. “Prediction of training time for deep neural networks in TensorFlow.” 2018. Thesis, KTH. Accessed February 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229423.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Adlers, Jacob. “Prediction of training time for deep neural networks in TensorFlow.” 2018. Web. 28 Feb 2021.

Vancouver:

Adlers J. Prediction of training time for deep neural networks in TensorFlow. [Internet] [Thesis]. KTH; 2018. [cited 2021 Feb 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229423.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Adlers J. Prediction of training time for deep neural networks in TensorFlow. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229423

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


The Ohio State University

2. Yin, Jiaqi. Measurement of machine learning performance with different condition and hyperparameter.

Degree: MS, Electrical and Computer Engineering, 2020, The Ohio State University

 In this article, we tested the performance of three major machine learning frameworks under deep learning: TensorFlow, Pytorch, and MXnet.The experimental environment of the whole… (more)

Subjects/Keywords: Computer Science; Machine learning, TensorFlow, MXnet, PyTorch

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APA (6th Edition):

Yin, J. (2020). Measurement of machine learning performance with different condition and hyperparameter. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1587693436870594

Chicago Manual of Style (16th Edition):

Yin, Jiaqi. “Measurement of machine learning performance with different condition and hyperparameter.” 2020. Masters Thesis, The Ohio State University. Accessed February 28, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587693436870594.

MLA Handbook (7th Edition):

Yin, Jiaqi. “Measurement of machine learning performance with different condition and hyperparameter.” 2020. Web. 28 Feb 2021.

Vancouver:

Yin J. Measurement of machine learning performance with different condition and hyperparameter. [Internet] [Masters thesis]. The Ohio State University; 2020. [cited 2021 Feb 28]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1587693436870594.

Council of Science Editors:

Yin J. Measurement of machine learning performance with different condition and hyperparameter. [Masters Thesis]. The Ohio State University; 2020. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1587693436870594

3. Glandberger, Oliver. Neural Network Regularization for Generalized Heart Arrhythmia Classification.

Degree: 2020, , Department of Computer Science

Background: Arrhythmias are a collection of heart conditions that affect almost half of the world’s population and accounted for roughly 32.1% of all deaths… (more)

Subjects/Keywords: Arrhythmia; Classification; Regularization; Scaleogram; TensorFlow; Arytmi; Klassificering; Regularisering; Spektrogram; TensorFlow; Software Engineering; Programvaruteknik

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APA (6th Edition):

Glandberger, O. (2020). Neural Network Regularization for Generalized Heart Arrhythmia Classification. (Thesis). , Department of Computer Science. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19731

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Glandberger, Oliver. “Neural Network Regularization for Generalized Heart Arrhythmia Classification.” 2020. Thesis, , Department of Computer Science. Accessed February 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19731.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Glandberger, Oliver. “Neural Network Regularization for Generalized Heart Arrhythmia Classification.” 2020. Web. 28 Feb 2021.

Vancouver:

Glandberger O. Neural Network Regularization for Generalized Heart Arrhythmia Classification. [Internet] [Thesis]. , Department of Computer Science; 2020. [cited 2021 Feb 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19731.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Glandberger O. Neural Network Regularization for Generalized Heart Arrhythmia Classification. [Thesis]. , Department of Computer Science; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19731

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Mid Sweden University

4. Payerl, Anders. Tolka musiktecken från bilder : Optisk musikigenkänning med maskininlärning.

Degree: Information Systems and Technology, 2018, Mid Sweden University

The objective of the project was to examine the possibility to use machine lear- ning without prior knowledge of machine learning or of mathematics… (more)

Subjects/Keywords: TensorFlow; sheet music; OMR; Audiveris; machine learning; TensorFlow; nottecken; OMR; Audiveris; maskininlärning; Software Engineering; Programvaruteknik

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APA (6th Edition):

Payerl, A. (2018). Tolka musiktecken från bilder : Optisk musikigenkänning med maskininlärning. (Thesis). Mid Sweden University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34063

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Payerl, Anders. “Tolka musiktecken från bilder : Optisk musikigenkänning med maskininlärning.” 2018. Thesis, Mid Sweden University. Accessed February 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34063.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Payerl, Anders. “Tolka musiktecken från bilder : Optisk musikigenkänning med maskininlärning.” 2018. Web. 28 Feb 2021.

Vancouver:

Payerl A. Tolka musiktecken från bilder : Optisk musikigenkänning med maskininlärning. [Internet] [Thesis]. Mid Sweden University; 2018. [cited 2021 Feb 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34063.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Payerl A. Tolka musiktecken från bilder : Optisk musikigenkänning med maskininlärning. [Thesis]. Mid Sweden University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34063

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

5. Dvonč, Tomáš. Automatická detekce událostí ve fotbalových zápasech: An automatic football match event detection.

Degree: 2020, Brno University of Technology

 This diploma thesis describes methods suitable for automatic detection of events from video sequences focused on football matches. The first part of the work is… (more)

Subjects/Keywords: futbal; rozpoznávanie akcie; hlboké učenie; 2D; 3D; CNN; RNN; tensorflow; football; action recognition; deep learning; 2D; 3D; CNN; RNN; tensorflow

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dvonč, T. (2020). Automatická detekce událostí ve fotbalových zápasech: An automatic football match event detection. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189125

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dvonč, Tomáš. “Automatická detekce událostí ve fotbalových zápasech: An automatic football match event detection.” 2020. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/189125.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dvonč, Tomáš. “Automatická detekce událostí ve fotbalových zápasech: An automatic football match event detection.” 2020. Web. 28 Feb 2021.

Vancouver:

Dvonč T. Automatická detekce událostí ve fotbalových zápasech: An automatic football match event detection. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/189125.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dvonč T. Automatická detekce událostí ve fotbalových zápasech: An automatic football match event detection. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189125

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

6. Valenta, Marek. VR interaktivní aplikace: VR Interactive Application.

Degree: 2018, Brno University of Technology

 This document is primarily concerned with describing the development of an interactive virtual reality application. At the beginning is a description of the history of… (more)

Subjects/Keywords: Virtuální realita; neuronová síť; rozpoznávání gest; Unity3D; Tensorflow; aplikace; hra; Virtual reality; neural network; gesture recognition; Unity3D; Tensorflow; application; game

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Valenta, M. (2018). VR interaktivní aplikace: VR Interactive Application. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/84930

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Valenta, Marek. “VR interaktivní aplikace: VR Interactive Application.” 2018. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/84930.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Valenta, Marek. “VR interaktivní aplikace: VR Interactive Application.” 2018. Web. 28 Feb 2021.

Vancouver:

Valenta M. VR interaktivní aplikace: VR Interactive Application. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/84930.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Valenta M. VR interaktivní aplikace: VR Interactive Application. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/84930

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

7. Dronzeková, Michaela. Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis.

Degree: 2019, Brno University of Technology

 The purpose of this thesis is to use convolutional neural networks for X-ray image classification of human body. Four different architectures of neural networks have… (more)

Subjects/Keywords: Konvolučné neurónové siete; klasifikácia; röntgen; umelé generovanie snímok; Tensorflow; Convolutional neural networks; classification; x-ray; generating artificial x-ray images; Tensorflow

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dronzeková, M. (2019). Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/85072

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dronzeková, Michaela. “Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis.” 2019. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/85072.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dronzeková, Michaela. “Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis.” 2019. Web. 28 Feb 2021.

Vancouver:

Dronzeková M. Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/85072.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dronzeková M. Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/85072

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

8. Chovaneček, Přemysl. Mobilní aplikace pro detekci graffiti tagů: Graffiti Tags Detection Mobile Application.

Degree: 2019, Brno University of Technology

 Thesis focuses on the object recognition of images, using the principles of artificial intelligence. It solves the signature detection of authors in the field of… (more)

Subjects/Keywords: Počítačové vidění; graffiti; mobilní aplikace; neuronové sítě; TensorFlow; Android; Computer vision; graffiti; mobile application; neural networks; TensorFlow; Android

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chovaneček, P. (2019). Mobilní aplikace pro detekci graffiti tagů: Graffiti Tags Detection Mobile Application. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180095

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chovaneček, Přemysl. “Mobilní aplikace pro detekci graffiti tagů: Graffiti Tags Detection Mobile Application.” 2019. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/180095.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chovaneček, Přemysl. “Mobilní aplikace pro detekci graffiti tagů: Graffiti Tags Detection Mobile Application.” 2019. Web. 28 Feb 2021.

Vancouver:

Chovaneček P. Mobilní aplikace pro detekci graffiti tagů: Graffiti Tags Detection Mobile Application. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/180095.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chovaneček P. Mobilní aplikace pro detekci graffiti tagů: Graffiti Tags Detection Mobile Application. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180095

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

9. Černohorská, Lucie. Klasifikace arteriálního a žilního řečiště v obrazových datech sítnice: Classification of arteries and veins in retinal image data.

Degree: 2020, Brno University of Technology

 This master's thesis deals with the classification of the retinal blood vessels in retinal image data. The thesis contains a description of anatomy of the… (more)

Subjects/Keywords: Sítnice; cévní řečiště sítnice; klasifikace; hluboké učení; Keras; Tensorflow; Retina; blood vessels of retina; classification; deep learning; Keras; Tensorflow

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Černohorská, L. (2020). Klasifikace arteriálního a žilního řečiště v obrazových datech sítnice: Classification of arteries and veins in retinal image data. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189150

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Černohorská, Lucie. “Klasifikace arteriálního a žilního řečiště v obrazových datech sítnice: Classification of arteries and veins in retinal image data.” 2020. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/189150.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Černohorská, Lucie. “Klasifikace arteriálního a žilního řečiště v obrazových datech sítnice: Classification of arteries and veins in retinal image data.” 2020. Web. 28 Feb 2021.

Vancouver:

Černohorská L. Klasifikace arteriálního a žilního řečiště v obrazových datech sítnice: Classification of arteries and veins in retinal image data. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/189150.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Černohorská L. Klasifikace arteriálního a žilního řečiště v obrazových datech sítnice: Classification of arteries and veins in retinal image data. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189150

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Jagečić, Slavica. Analiza uspešnosti optične prepoznave elementov BPMN.

Degree: 2019, Univerza v Mariboru

Magistrsko delo predstavlja postopek izdelave modela za prepoznavo ročno risanih BPMN elementov ter pridobitev rezultatov (%) uspešnosti njihove prepoznave. Za pomoč pri razvoju modela za… (more)

Subjects/Keywords: BPMN; OCR; strojno učenje; TensorFlow; BPMN; OCR; machine learning; TensorFlow; info:eu-repo/classification/udc/004.424.3(043.2)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jagečić, S. (2019). Analiza uspešnosti optične prepoznave elementov BPMN. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=74576 ; https://dk.um.si/Dokument.php?id=136713&dn= ; https://plus.si.cobiss.net/opac7/bib/22839574?lang=sl

Chicago Manual of Style (16th Edition):

Jagečić, Slavica. “Analiza uspešnosti optične prepoznave elementov BPMN.” 2019. Masters Thesis, Univerza v Mariboru. Accessed February 28, 2021. https://dk.um.si/IzpisGradiva.php?id=74576 ; https://dk.um.si/Dokument.php?id=136713&dn= ; https://plus.si.cobiss.net/opac7/bib/22839574?lang=sl.

MLA Handbook (7th Edition):

Jagečić, Slavica. “Analiza uspešnosti optične prepoznave elementov BPMN.” 2019. Web. 28 Feb 2021.

Vancouver:

Jagečić S. Analiza uspešnosti optične prepoznave elementov BPMN. [Internet] [Masters thesis]. Univerza v Mariboru; 2019. [cited 2021 Feb 28]. Available from: https://dk.um.si/IzpisGradiva.php?id=74576 ; https://dk.um.si/Dokument.php?id=136713&dn= ; https://plus.si.cobiss.net/opac7/bib/22839574?lang=sl.

Council of Science Editors:

Jagečić S. Analiza uspešnosti optične prepoznave elementov BPMN. [Masters Thesis]. Univerza v Mariboru; 2019. Available from: https://dk.um.si/IzpisGradiva.php?id=74576 ; https://dk.um.si/Dokument.php?id=136713&dn= ; https://plus.si.cobiss.net/opac7/bib/22839574?lang=sl


Brno University of Technology

11. Čabala, Roman. Rozpoznání druhu vozidla v obraze: Recognition of Vehicle Class in Image.

Degree: 2020, Brno University of Technology

 The goal of this bachelor thesis is to recognize the type of vehicle from the image using neural networks. Vehicles are divided into 6 types,… (more)

Subjects/Keywords: klasifikácia druhu vozidla; Python; Tensorflow; Keras; VGG16; ResNet50; Xception; InceptionResNet; vehicle type classification; Python; Tensorflow; Keras; VGG16; ResNet50; Xception; InceptionResNet

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Čabala, R. (2020). Rozpoznání druhu vozidla v obraze: Recognition of Vehicle Class in Image. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/191677

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Čabala, Roman. “Rozpoznání druhu vozidla v obraze: Recognition of Vehicle Class in Image.” 2020. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/191677.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Čabala, Roman. “Rozpoznání druhu vozidla v obraze: Recognition of Vehicle Class in Image.” 2020. Web. 28 Feb 2021.

Vancouver:

Čabala R. Rozpoznání druhu vozidla v obraze: Recognition of Vehicle Class in Image. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/191677.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Čabala R. Rozpoznání druhu vozidla v obraze: Recognition of Vehicle Class in Image. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/191677

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

12. Kuvik, Michal. Rozpoznávání druhu jídla s pomocí hlubokých neuronových sítí: Food classification using deep neural networks.

Degree: 2019, Brno University of Technology

 The aim of this thesis is to study problems of deep convolutional neural networks and the connected classification of images and to experiment with the… (more)

Subjects/Keywords: Python; Keras; TensorFlow; konvolučná neurónová sieť; InceptionV3; Kaggle; klasifikácia obrázkov; Python; Keras; TensorFlow; convolutional neural network; Inception; Kaggle; image classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kuvik, M. (2019). Rozpoznávání druhu jídla s pomocí hlubokých neuronových sítí: Food classification using deep neural networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/177576

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kuvik, Michal. “Rozpoznávání druhu jídla s pomocí hlubokých neuronových sítí: Food classification using deep neural networks.” 2019. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/177576.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kuvik, Michal. “Rozpoznávání druhu jídla s pomocí hlubokých neuronových sítí: Food classification using deep neural networks.” 2019. Web. 28 Feb 2021.

Vancouver:

Kuvik M. Rozpoznávání druhu jídla s pomocí hlubokých neuronových sítí: Food classification using deep neural networks. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/177576.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kuvik M. Rozpoznávání druhu jídla s pomocí hlubokých neuronových sítí: Food classification using deep neural networks. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/177576

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

13. Groman, Martin. Tvorba umělé neuronové sítě pro výpočet termodynamických veličin: Application of the artificial neural network to calculate the thermodynamic properties.

Degree: 2019, Brno University of Technology

 This master thesis is dealing with application of an artificial neural network for calculating specific volume of steam. There is described type and construction of… (more)

Subjects/Keywords: neuronová síť; tensorflow; optimalizace; vodní pára; výpočet termodynamických veličin; neural network; tensorflow; optimization; steam; calculation of thermodynamic properties

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Groman, M. (2019). Tvorba umělé neuronové sítě pro výpočet termodynamických veličin: Application of the artificial neural network to calculate the thermodynamic properties. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/175381

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Groman, Martin. “Tvorba umělé neuronové sítě pro výpočet termodynamických veličin: Application of the artificial neural network to calculate the thermodynamic properties.” 2019. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/175381.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Groman, Martin. “Tvorba umělé neuronové sítě pro výpočet termodynamických veličin: Application of the artificial neural network to calculate the thermodynamic properties.” 2019. Web. 28 Feb 2021.

Vancouver:

Groman M. Tvorba umělé neuronové sítě pro výpočet termodynamických veličin: Application of the artificial neural network to calculate the thermodynamic properties. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/175381.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Groman M. Tvorba umělé neuronové sítě pro výpočet termodynamických veličin: Application of the artificial neural network to calculate the thermodynamic properties. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/175381

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

14. Nimrichter, Adam. Analýza finančních trhů s pomocí hlubokého učení: Financial market analysis using deep learning algorithm.

Degree: 2019, Brno University of Technology

 The thesis deals with methods for analysis of financial markets, focused on cryptocurrencies. The theoretical part, in a context of virtual currencies, describes block-chain technology,… (more)

Subjects/Keywords: Neuronová síť; virtuální měna; predikční systém; LSTM; Keras; TensorFlow.; Neural network; virtual currency; prediction system; LSTM; Keras; TensorFlow.

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APA (6th Edition):

Nimrichter, A. (2019). Analýza finančních trhů s pomocí hlubokého učení: Financial market analysis using deep learning algorithm. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/80757

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nimrichter, Adam. “Analýza finančních trhů s pomocí hlubokého učení: Financial market analysis using deep learning algorithm.” 2019. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/80757.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nimrichter, Adam. “Analýza finančních trhů s pomocí hlubokého učení: Financial market analysis using deep learning algorithm.” 2019. Web. 28 Feb 2021.

Vancouver:

Nimrichter A. Analýza finančních trhů s pomocí hlubokého učení: Financial market analysis using deep learning algorithm. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/80757.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nimrichter A. Analýza finančních trhů s pomocí hlubokého učení: Financial market analysis using deep learning algorithm. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/80757

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rochester Institute of Technology

15. Assogba, Kevin Tunder Elom. A Data-parallel Approach for Efficient Resource Utilization in Distributed Serverless Deep Learning.

Degree: MS, Computer Science (GCCIS), 2020, Rochester Institute of Technology

  Serverless computing is an integral part of the recent success of cloud computing, offering cost and performance efficiency for small and large scale distributed… (more)

Subjects/Keywords: Data parallelism; Deep learning; OpenWhisk; Serverless computing; TensorFlow

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Assogba, K. T. E. (2020). A Data-parallel Approach for Efficient Resource Utilization in Distributed Serverless Deep Learning. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10583

Chicago Manual of Style (16th Edition):

Assogba, Kevin Tunder Elom. “A Data-parallel Approach for Efficient Resource Utilization in Distributed Serverless Deep Learning.” 2020. Masters Thesis, Rochester Institute of Technology. Accessed February 28, 2021. https://scholarworks.rit.edu/theses/10583.

MLA Handbook (7th Edition):

Assogba, Kevin Tunder Elom. “A Data-parallel Approach for Efficient Resource Utilization in Distributed Serverless Deep Learning.” 2020. Web. 28 Feb 2021.

Vancouver:

Assogba KTE. A Data-parallel Approach for Efficient Resource Utilization in Distributed Serverless Deep Learning. [Internet] [Masters thesis]. Rochester Institute of Technology; 2020. [cited 2021 Feb 28]. Available from: https://scholarworks.rit.edu/theses/10583.

Council of Science Editors:

Assogba KTE. A Data-parallel Approach for Efficient Resource Utilization in Distributed Serverless Deep Learning. [Masters Thesis]. Rochester Institute of Technology; 2020. Available from: https://scholarworks.rit.edu/theses/10583


Mid Sweden University

16. Manousian, Jonathan. Digitalisering av handskrivna siffror på fysiska formulär : Utvärdering av tillförlitlighet och träningstid.

Degree: Information Systems and Technology, 2020, Mid Sweden University

Inom arbetslivet finns situationer i vilka vi kan utnyttja digitalisering för att förenkla och effektivisera arbetet. Ett exempel är den analoga hanteringen av fysiska… (more)

Subjects/Keywords: TensorFlow; Object detection; OCR; Cropping.; Software Engineering; Programvaruteknik

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APA (6th Edition):

Manousian, J. (2020). Digitalisering av handskrivna siffror på fysiska formulär : Utvärdering av tillförlitlighet och träningstid. (Thesis). Mid Sweden University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39343

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Manousian, Jonathan. “Digitalisering av handskrivna siffror på fysiska formulär : Utvärdering av tillförlitlighet och träningstid.” 2020. Thesis, Mid Sweden University. Accessed February 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39343.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Manousian, Jonathan. “Digitalisering av handskrivna siffror på fysiska formulär : Utvärdering av tillförlitlighet och träningstid.” 2020. Web. 28 Feb 2021.

Vancouver:

Manousian J. Digitalisering av handskrivna siffror på fysiska formulär : Utvärdering av tillförlitlighet och träningstid. [Internet] [Thesis]. Mid Sweden University; 2020. [cited 2021 Feb 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39343.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Manousian J. Digitalisering av handskrivna siffror på fysiska formulär : Utvärdering av tillförlitlighet och träningstid. [Thesis]. Mid Sweden University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39343

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Debrecen

17. Perge, Lilla. Önvezető autók mélytanuláson alapuló vezérlése mobiltelefonon .

Degree: DE – Informatikai Kar, University of Debrecen

 Egy olyan világban élünk, ahol a mesterséges intelligencia hatalmas lehetőségeket teremtett egy jobb holnapra, olyanokat, melyekre korábban lehetőség sem volt. Nem véletlen, hogy az önvezető… (more)

Subjects/Keywords: mélytanulás; android; önvezető autó; tensorflow

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APA (6th Edition):

Perge, L. (n.d.). Önvezető autók mélytanuláson alapuló vezérlése mobiltelefonon . (Thesis). University of Debrecen. Retrieved from http://hdl.handle.net/2437/267151

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Perge, Lilla. “Önvezető autók mélytanuláson alapuló vezérlése mobiltelefonon .” Thesis, University of Debrecen. Accessed February 28, 2021. http://hdl.handle.net/2437/267151.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Perge, Lilla. “Önvezető autók mélytanuláson alapuló vezérlése mobiltelefonon .” Web. 28 Feb 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Perge L. Önvezető autók mélytanuláson alapuló vezérlése mobiltelefonon . [Internet] [Thesis]. University of Debrecen; [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2437/267151.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Perge L. Önvezető autók mélytanuláson alapuló vezérlése mobiltelefonon . [Thesis]. University of Debrecen; Available from: http://hdl.handle.net/2437/267151

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


California State University – Sacramento

18. Shiroor, Shekhar Vikas. Implementation of a neural network agent that plays video games using reinforcement learning.

Degree: MS, Computer Science, 2019, California State University – Sacramento

 This project to implements a generalized neural network agent that plays different video games using reinforcement learning algorithm. This project uses OpenAIs simulated video game… (more)

Subjects/Keywords: Deep learning; OpenAI; Reinforcement learning; Tensorflow; TFLearn; NumPy; LSTM

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shiroor, S. V. (2019). Implementation of a neural network agent that plays video games using reinforcement learning. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/207667

Chicago Manual of Style (16th Edition):

Shiroor, Shekhar Vikas. “Implementation of a neural network agent that plays video games using reinforcement learning.” 2019. Masters Thesis, California State University – Sacramento. Accessed February 28, 2021. http://hdl.handle.net/10211.3/207667.

MLA Handbook (7th Edition):

Shiroor, Shekhar Vikas. “Implementation of a neural network agent that plays video games using reinforcement learning.” 2019. Web. 28 Feb 2021.

Vancouver:

Shiroor SV. Implementation of a neural network agent that plays video games using reinforcement learning. [Internet] [Masters thesis]. California State University – Sacramento; 2019. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/10211.3/207667.

Council of Science Editors:

Shiroor SV. Implementation of a neural network agent that plays video games using reinforcement learning. [Masters Thesis]. California State University – Sacramento; 2019. Available from: http://hdl.handle.net/10211.3/207667

19. Carlsson, Oscar. Gauge equivariant convolutional neural networks .

Degree: Chalmers tekniska högskola / Institutionen för fysik, 2020, Chalmers University of Technology

 In this thesis we present a review of the current theory of group and gauge equivariant convolutional neural networks on homogeneous spaces and general smooth… (more)

Subjects/Keywords: Convolutional neural networks; machine learning; manifolds; group; gauge; Python; Tensorflow; Keras

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APA (6th Edition):

Carlsson, O. (2020). Gauge equivariant convolutional neural networks . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/301431

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Carlsson, Oscar. “Gauge equivariant convolutional neural networks .” 2020. Thesis, Chalmers University of Technology. Accessed February 28, 2021. http://hdl.handle.net/20.500.12380/301431.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Carlsson, Oscar. “Gauge equivariant convolutional neural networks .” 2020. Web. 28 Feb 2021.

Vancouver:

Carlsson O. Gauge equivariant convolutional neural networks . [Internet] [Thesis]. Chalmers University of Technology; 2020. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/20.500.12380/301431.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Carlsson O. Gauge equivariant convolutional neural networks . [Thesis]. Chalmers University of Technology; 2020. Available from: http://hdl.handle.net/20.500.12380/301431

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


The Ohio State University

20. Biswas, Rajarshi. Benchmarking and Accelerating TensorFlow-based Deep Learning on Modern HPC Systems.

Degree: MS, Computer Science and Engineering, 2018, The Ohio State University

 Google’s TensorFlow is one of the most popular Deep Learning (DL) frameworks available in the community. gRPC, a Remote Procedure Call (RPC) framework also developed… (more)

Subjects/Keywords: Computer Engineering; Computer Science; Deep Learning; TensorFlow; gRPC; HPC; RDMA

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Biswas, R. (2018). Benchmarking and Accelerating TensorFlow-based Deep Learning on Modern HPC Systems. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1531827968620294

Chicago Manual of Style (16th Edition):

Biswas, Rajarshi. “Benchmarking and Accelerating TensorFlow-based Deep Learning on Modern HPC Systems.” 2018. Masters Thesis, The Ohio State University. Accessed February 28, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531827968620294.

MLA Handbook (7th Edition):

Biswas, Rajarshi. “Benchmarking and Accelerating TensorFlow-based Deep Learning on Modern HPC Systems.” 2018. Web. 28 Feb 2021.

Vancouver:

Biswas R. Benchmarking and Accelerating TensorFlow-based Deep Learning on Modern HPC Systems. [Internet] [Masters thesis]. The Ohio State University; 2018. [cited 2021 Feb 28]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531827968620294.

Council of Science Editors:

Biswas R. Benchmarking and Accelerating TensorFlow-based Deep Learning on Modern HPC Systems. [Masters Thesis]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531827968620294


Brno University of Technology

21. Hrabal, Matěj. Matení algoritmů počítačového vidění: Fooling of Algorithms of Computer Vision.

Degree: 2019, Brno University of Technology

 The goal of this work was to research existing methods of computer vision and computer recognition fooling. My focus was on group of methods called… (more)

Subjects/Keywords: počítačové vidění; CIFAR-10; diferenciální evoluce; pixel attack; Keras; TensorFlow; Python; computer vision; CIFAR-10; differential evolution; pixel attack; Keras; TensorFlow; Python

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hrabal, M. (2019). Matení algoritmů počítačového vidění: Fooling of Algorithms of Computer Vision. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180242

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hrabal, Matěj. “Matení algoritmů počítačového vidění: Fooling of Algorithms of Computer Vision.” 2019. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/180242.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hrabal, Matěj. “Matení algoritmů počítačového vidění: Fooling of Algorithms of Computer Vision.” 2019. Web. 28 Feb 2021.

Vancouver:

Hrabal M. Matení algoritmů počítačového vidění: Fooling of Algorithms of Computer Vision. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/180242.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hrabal M. Matení algoritmů počítačového vidění: Fooling of Algorithms of Computer Vision. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180242

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

22. Matula, Tomáš. Využití aproximovaných aritmetických obvodů v neuronových sítí: Exploiting Approximate Arithmetic Circuits in Neural Networks Inference.

Degree: 2020, Brno University of Technology

 This thesis is concerned with the utilization of approximate circuits in neural networks to provide energy savings. Various studies showing interesting results already exist, but… (more)

Subjects/Keywords: umelá inteligencia; neurónové siete; aproximované obvody; qvantizácia; energetická úspora; TensorFlow; Inception; MobileNet; artificial intelligence; neural networks; approximate circuits; quantization; energy savings; TensorFlow; Inception; MobileNet

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Matula, T. (2020). Využití aproximovaných aritmetických obvodů v neuronových sítí: Exploiting Approximate Arithmetic Circuits in Neural Networks Inference. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189957

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Matula, Tomáš. “Využití aproximovaných aritmetických obvodů v neuronových sítí: Exploiting Approximate Arithmetic Circuits in Neural Networks Inference.” 2020. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/189957.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Matula, Tomáš. “Využití aproximovaných aritmetických obvodů v neuronových sítí: Exploiting Approximate Arithmetic Circuits in Neural Networks Inference.” 2020. Web. 28 Feb 2021.

Vancouver:

Matula T. Využití aproximovaných aritmetických obvodů v neuronových sítí: Exploiting Approximate Arithmetic Circuits in Neural Networks Inference. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/189957.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Matula T. Využití aproximovaných aritmetických obvodů v neuronových sítí: Exploiting Approximate Arithmetic Circuits in Neural Networks Inference. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189957

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

23. Horák, Martin. Sémantický popis obrazovky embedded zařízení: Semantic description of the embedded device screen.

Degree: 2020, Brno University of Technology

 This thesis deals with the detection of UI Elements in the image of a printer screenusing the convolutional neural networks. The theoretical part of the… (more)

Subjects/Keywords: Detekce objektů; Konvoluční neuronové sítě; Tensorflow Object Detection API; Počítačové vidění; Object detection; Convolutional neural networks; Tensorflow Object Detection API; Computer Vision

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Horák, M. (2020). Sémantický popis obrazovky embedded zařízení: Semantic description of the embedded device screen. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189412

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Horák, Martin. “Sémantický popis obrazovky embedded zařízení: Semantic description of the embedded device screen.” 2020. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/189412.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Horák, Martin. “Sémantický popis obrazovky embedded zařízení: Semantic description of the embedded device screen.” 2020. Web. 28 Feb 2021.

Vancouver:

Horák M. Sémantický popis obrazovky embedded zařízení: Semantic description of the embedded device screen. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/189412.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Horák M. Sémantický popis obrazovky embedded zařízení: Semantic description of the embedded device screen. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189412

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

24. Hložek, Bohuslav. Bayesovské a neuronové sítě: Bayesian and Neural Networks.

Degree: 2019, Brno University of Technology

 This paper introduces Bayesian neural network based on Occams razor. Basic knowledge about neural networks and Bayes rule is summarized in the first part of… (more)

Subjects/Keywords: Bayesovské neuronové sítě; Umělé neuronové sítě; Occamova břitva; Neuron; Přeučení; Bayesovo pravidlo; TensorFlow; Edward; Keras; Bayesian neural networks; Artificial neural networks; Occams razor; Neuron; Overfitting; Bayes rule; TensorFlow; Edward; Keras

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hložek, B. (2019). Bayesovské a neuronové sítě: Bayesian and Neural Networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/69530

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hložek, Bohuslav. “Bayesovské a neuronové sítě: Bayesian and Neural Networks.” 2019. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/69530.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hložek, Bohuslav. “Bayesovské a neuronové sítě: Bayesian and Neural Networks.” 2019. Web. 28 Feb 2021.

Vancouver:

Hložek B. Bayesovské a neuronové sítě: Bayesian and Neural Networks. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/69530.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hložek B. Bayesovské a neuronové sítě: Bayesian and Neural Networks. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/69530

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

25. Mlynarič, Tomáš. Hluboké neuronové sítě pro klasifikaci objektů v obraze: Deep Neural Networks for Classifying Objects in an Image.

Degree: 2019, Brno University of Technology

 This paper deals with classifying objects using deep neural networks. Whole scene segmentation was used as main algorithm for the classification purpose which works with… (more)

Subjects/Keywords: segmentace obrazu; monokulární kamera; hluboké neuronové sítě; video; optický tok; warping; Cityscapes; Keras; Tensorflow; image segmentation; monocular camera; deep neural networks; video; optical flow; warping; Cityscapes; Keras; Tensorflow

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mlynarič, T. (2019). Hluboké neuronové sítě pro klasifikaci objektů v obraze: Deep Neural Networks for Classifying Objects in an Image. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/84863

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mlynarič, Tomáš. “Hluboké neuronové sítě pro klasifikaci objektů v obraze: Deep Neural Networks for Classifying Objects in an Image.” 2019. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/84863.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mlynarič, Tomáš. “Hluboké neuronové sítě pro klasifikaci objektů v obraze: Deep Neural Networks for Classifying Objects in an Image.” 2019. Web. 28 Feb 2021.

Vancouver:

Mlynarič T. Hluboké neuronové sítě pro klasifikaci objektů v obraze: Deep Neural Networks for Classifying Objects in an Image. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/84863.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mlynarič T. Hluboké neuronové sítě pro klasifikaci objektů v obraze: Deep Neural Networks for Classifying Objects in an Image. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/84863

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

26. Zubalík, Petr. Rekonstrukce snímku obličeje s využitím neuronových sítí: Reconstruction of Facial Images Using Neural Networks.

Degree: 2019, Brno University of Technology

 The main purpose of this bachelor's thesis is to propose and implement a model, using neural networks, that will be able to reconstruct low-resolution facial… (more)

Subjects/Keywords: kamerový systém; kamera; rekonstrukce obrazu; umělá inteligence; konvoluční neuronové sítě; generativní kompetitivní sítě; ResNet; TensorFlow; CCTV; camera; image reconstruction; artificial intelligence; convolutional neural networks; generative adversarial networks; ResNet; TensorFlow

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zubalík, P. (2019). Rekonstrukce snímku obličeje s využitím neuronových sítí: Reconstruction of Facial Images Using Neural Networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180125

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zubalík, Petr. “Rekonstrukce snímku obličeje s využitím neuronových sítí: Reconstruction of Facial Images Using Neural Networks.” 2019. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/180125.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zubalík, Petr. “Rekonstrukce snímku obličeje s využitím neuronových sítí: Reconstruction of Facial Images Using Neural Networks.” 2019. Web. 28 Feb 2021.

Vancouver:

Zubalík P. Rekonstrukce snímku obličeje s využitím neuronových sítí: Reconstruction of Facial Images Using Neural Networks. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/180125.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zubalík P. Rekonstrukce snímku obličeje s využitím neuronových sítí: Reconstruction of Facial Images Using Neural Networks. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180125

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

27. Pustka, Michal. Inteligentní rozpoznání činnosti uživatele chytrého telefonu: Intelligent Recognition of the Smartphone User's Activity.

Degree: 2019, Brno University of Technology

 This thesis deals with real-time human activity recognition (eg, running, walking, driving, etc.) using sensors which are available on current mobile devices. The final product… (more)

Subjects/Keywords: Senzory; Android; Xamarin; TensorFlow; sběr dat; umělá inteligence; rozpoznávaní aktivit; konvoluční neuronové sítě; Sensors; Android; Xamarin; TensorFlow; collection of data; artificial intelligence; human activity recognition; convolutional neural networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pustka, M. (2019). Inteligentní rozpoznání činnosti uživatele chytrého telefonu: Intelligent Recognition of the Smartphone User's Activity. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/84970

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pustka, Michal. “Inteligentní rozpoznání činnosti uživatele chytrého telefonu: Intelligent Recognition of the Smartphone User's Activity.” 2019. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/84970.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pustka, Michal. “Inteligentní rozpoznání činnosti uživatele chytrého telefonu: Intelligent Recognition of the Smartphone User's Activity.” 2019. Web. 28 Feb 2021.

Vancouver:

Pustka M. Inteligentní rozpoznání činnosti uživatele chytrého telefonu: Intelligent Recognition of the Smartphone User's Activity. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/84970.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pustka M. Inteligentní rozpoznání činnosti uživatele chytrého telefonu: Intelligent Recognition of the Smartphone User's Activity. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/84970

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

28. Tomašov, Adrián. Analýza GPON rámců s využitím strojového učení: Analysis of GPON frames using machine learning.

Degree: 2020, Brno University of Technology

 This thesis focuses on the analysis of selected part of GPON frame using machine learning algorithms implemented by using TensorFlow library. Considering that the GPON… (more)

Subjects/Keywords: Autoenkodér; GPON; LSTM; neuronová sieť; pasívna optická sieť; Python3; strojové učenie; TensorFlow; Autoencoder; GPON; LSTM; machine learning; neural network; passive optical network; Python3; TensorFlow

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tomašov, A. (2020). Analýza GPON rámců s využitím strojového učení: Analysis of GPON frames using machine learning. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189217

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tomašov, Adrián. “Analýza GPON rámců s využitím strojového učení: Analysis of GPON frames using machine learning.” 2020. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/189217.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tomašov, Adrián. “Analýza GPON rámců s využitím strojového učení: Analysis of GPON frames using machine learning.” 2020. Web. 28 Feb 2021.

Vancouver:

Tomašov A. Analýza GPON rámců s využitím strojového učení: Analysis of GPON frames using machine learning. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/189217.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tomašov A. Analýza GPON rámců s využitím strojového učení: Analysis of GPON frames using machine learning. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189217

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

29. Petráš, Adam. Detekce vozidla v obraze: Detection of Vehicles in Image and Video.

Degree: 2020, Brno University of Technology

 This bachelor thesis is focused on vehicle detection. The thesis deals with the method of vehicle detection using convolutional neural networks, their structures and models.… (more)

Subjects/Keywords: detekce vozidel; konvoluční neuronové sítě; Python; TensorFlow; Nvidia Tegra; TensorRT; kvantizace; R-CNN; SSD; ONNX; vehicle detection; convolutional neural networks; Python; TensorFlow; Nvidia Tegra; TensorRt; quantization; R-CNN; SSD; ONNX

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Petráš, A. (2020). Detekce vozidla v obraze: Detection of Vehicles in Image and Video. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/191697

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Petráš, Adam. “Detekce vozidla v obraze: Detection of Vehicles in Image and Video.” 2020. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/191697.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Petráš, Adam. “Detekce vozidla v obraze: Detection of Vehicles in Image and Video.” 2020. Web. 28 Feb 2021.

Vancouver:

Petráš A. Detekce vozidla v obraze: Detection of Vehicles in Image and Video. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/191697.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Petráš A. Detekce vozidla v obraze: Detection of Vehicles in Image and Video. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/191697

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

30. Trčka, Jan. Zlepšování kvality digitalizovaných textových dokumentů: Document Quality Enhancement.

Degree: 2020, Brno University of Technology

 The aim of this work is to increase the accuracy of the transcription of text documents. This work is mainly focused on texts printed on… (more)

Subjects/Keywords: Neuronové sítě; hluboké neuronové sítě; konvoluční neuronové sítě; GAN sítě; TensorFlow; zlepšování kvality obrazu; Neural networks; deep neural networks; convolution neural networks; GAN networks; TensorFlow; image quality enhancement

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Trčka, J. (2020). Zlepšování kvality digitalizovaných textových dokumentů: Document Quality Enhancement. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/192507

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Trčka, Jan. “Zlepšování kvality digitalizovaných textových dokumentů: Document Quality Enhancement.” 2020. Thesis, Brno University of Technology. Accessed February 28, 2021. http://hdl.handle.net/11012/192507.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Trčka, Jan. “Zlepšování kvality digitalizovaných textových dokumentů: Document Quality Enhancement.” 2020. Web. 28 Feb 2021.

Vancouver:

Trčka J. Zlepšování kvality digitalizovaných textových dokumentů: Document Quality Enhancement. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11012/192507.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Trčka J. Zlepšování kvality digitalizovaných textových dokumentů: Document Quality Enhancement. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/192507

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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