You're reading from Advanced Deep Learning with TensorFlow 2 and Keras - Second Edition

Product typeBook

Published inFeb 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781838821654

Edition2nd Edition

Languages

Python

Tools

Keras TensorFlow

Concepts

Programming Language

Author (1)

Rowel Atienza

6. References

Kaiming He et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification. Proceedings of the IEEE international conference on computer vision, 2015 (https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/He_Delving_Deep_into_ICCV_2015_paper.pdfspm=5176.100239.blogcont55892.28.pm8zm1&file=He_Delving_Deep_into_ICCV_2015_paper.pdf).
Kaiming He et al. Deep Residual Learning for Image Recognition. Proceedings of the IEEE conference on computer vision and pattern recognition, 2016a (http://openaccess.thecvf.com/content_cvpr_2016/papers/He_Deep_Residual_Learning_CVPR_2016_paper.pdf).
Karen Simonyan and Andrew Zisserman. Very Deep Convolutional Networks for Large-Scale Image Recognition. ICLR, 2015 (https://arxiv.org/pdf/1409.1556/).
Kaiming He et al. Identity Mappings in Deep Residual Networks. European Conference on Computer Vision. Springer International Publishing, 2016b (https://arxiv.org/pdf/1603...

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Advanced Deep Learning with TensorFlow 2 and Keras - Second Edition

Published in: Feb 2020Publisher: PacktISBN-13: 9781838821654

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Author (1)

Rowel Atienza

Rowel Atienza is an Associate Professor at the Electrical and Electronics Engineering Institute of the University of the Philippines, Diliman. He holds the Dado and Maria Banatao Institute Professorial Chair in Artificial Intelligence. Rowel has been fascinated with intelligent robots since he graduated from the University of the Philippines. He received his MEng from the National University of Singapore for his work on an AI-enhanced four-legged robot. He finished his Ph.D. at The Australian National University for his contribution on the field of active gaze tracking for human-robot interaction. Rowel's current research work focuses on AI and computer vision. He dreams on building useful machines that can perceive, understand, and reason. To help make his dreams become real, Rowel has been supported by grants from the Department of Science and Technology (DOST), Samsung Research Philippines, and Commission on Higher Education-Philippine California Advanced Research Institutes (CHED-PCARI).
Read more about Rowel Atienza

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