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

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Published inFeb 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781838821654
Edition2nd Edition
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Python
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KerasTensorFlow
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Rowel Atienza
Rowel Atienza
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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).
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5. References

  1. Diederik P. Kingma and Max Welling. Auto-encoding Variational Bayes. arXiv preprint arXiv:1312.6114, 2013 (https://arxiv.org/pdf/1312.6114.pdf).
  2. Kihyuk Sohn, Honglak Lee, and Xinchen Yan. Learning Structured Output Representation Using Deep Conditional Generative Models. Advances in Neural Information Processing Systems, 2015 (http://papers.nips.cc/paper/5775-learning-structured-output-representation-using-deep-conditional-generative-models.pdf).
  3. Yoshua Bengio, Aaron Courville, and Pascal Vincent. Representation Learning.
  4. A Review and New Perspectives. IEEE transactions on Pattern Analysis and Machine Intelligence 35.8, 2013: 1798-1828 (https://arxiv.org/pdf/1206.5538.pdf).
  5. Xi Chen et al.: Infogan: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. Advances in Neural Information Processing Systems, 2016 (http://papers.nips.cc/paper/6399-infogan-interpretable-representation-learning-by-information...
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Advanced Deep Learning with TensorFlow 2 and Keras - Second Edition
Published in: Feb 2020Publisher: PacktISBN-13: 9781838821654
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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