Book Image

Deep Learning with TensorFlow 2 and Keras - Second Edition

By : Antonio Gulli, Amita Kapoor, Sujit Pal
Book Image

Deep Learning with TensorFlow 2 and Keras - Second Edition

By: Antonio Gulli, Amita Kapoor, Sujit Pal

Overview of this book

Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You’ll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow is the machine learning library of choice for professional applications, while Keras offers a simple and powerful Python API for accessing TensorFlow. TensorFlow 2 provides full Keras integration, making advanced machine learning easier and more convenient than ever before. This book also introduces neural networks with TensorFlow, runs through the main applications (regression, ConvNets (CNNs), GANs, RNNs, NLP), covers two working example apps, and then dives into TF in production, TF mobile, and using TensorFlow with AutoML.
Table of Contents (19 chapters)
17
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18
Index

Index

A

Accelerated Linear Algebra (XLA) 82

achievements, RL

AI controlled sailplanes 416

AlphaGo Zero 415

locomotion behavior 416

Action-Value function 411

activation functions

about 549

derivative of ReLU 551

derivative of sigmoid 549, 550

derivative of tanh 550

additive attention 330

adversarial training

about 192

Agent 408

AI controlled sailplanes 416

AlexNet 160

AlphaGo Zero 416

Amazon EC2

virtual machines, creating 448, 449

Amazon Machine Image (AMI)

reference link 449

selecting 449

Amazon Web Service (AWS)

about 439, 442, 443

reference link 442

services, reference link 443

Android Studio

installation link 467

reference link 466

App Engine

reference link 446

applications, GAN

album covers 217

bedroom 217

Application-Specific Integrated Circuit (ASIC)

about 573

Arduino Nano 33 BLE Sense

reference link 464

area under the cover receiver...