You're reading from Advanced Deep Learning with Keras

Product typeBook

Published inOct 2018

Reading LevelIntermediate

PublisherPackt

ISBN-139781788629416

Edition1st Edition

Languages

Python

Tools

Keras TensorFlow

Concepts

Deep Learning

Author (1)

Rowel Atienza

Index

A

accuracy / Optimization
Actor-Critic (A2C) method
- about / Actor-Critic method
- advantages / Advantage Actor-Critic (A2C) method
Adaptive Moments (Adam) / Optimization
Asynchronous Advantage Actor-Critic (A3C) / Advantage Actor-Critic (A2C) method
autoencoders
- encoder / Principles of autoencoders
- decoder / Principles of autoencoders
- principles / Principles of autoencoders
- building, with Keras / Building autoencoders using Keras
automatic colorization autoencoders / Automatic colorization autoencoder
Auxiliary Classifier GAN (ACGAN)
- about / Auxiliary classifier GAN (ACGAN)

B

backpropagation
- reference / Optimization
batch normalization / Convolutional neural networks (CNNs)
Batch Normalization (BN)
- about / Deep residual networks (ResNet)
/ GAN implementation in Keras, Implementing CycleGAN using Keras
Bellman Equation / The Q value
bootstrapping / Temporal...

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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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