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Generative AI with Python and TensorFlow 2

You're reading from Generative AI with Python and TensorFlow 2

Product type Book

Published in Apr 2021

Publisher Packt

ISBN-13 9781800200883

Pages 488 pages

Edition 1st Edition

Languages

Concepts

Artificial Intelligence

Authors (2):

Joseph Babcock

Raghav Bali

View More author details

Table of Contents (16) Chapters

Preface

1. An Introduction to Generative AI: "Drawing" Data from Models

2. Setting Up a TensorFlow Lab

3. Building Blocks of Deep Neural Networks

4. Teaching Networks to Generate Digits

5. Painting Pictures with Neural Networks Using VAEs

6. Image Generation with GANs

7. Style Transfer with GANs

8. Deepfakes with GANs

9. The Rise of Methods for Text Generation

10. NLP 2.0: Using Transformers to Generate Text

11. Composing Music with Generative Models

12. Play Video Games with Generative AI: GAIL

13. Emerging Applications in Generative AI

14. Other Books You May Enjoy

15. Index

Index

Symbols

3D Guided Fine-Grained Face Manipulation

reference link 256

3D Morphable Model (3DMM) 256

68-coordinate 258

68-point system 258

A

Actor-Critic network 424, 426, 427, 428, 429, 430

Adaptive Gradient (Adagrad) 94

Adaptive Momentum Estimation (ADAM) 95

adversarial imitation 417, 418, 419

adversarial learning 417, 418, 419

adversarial loss 227

AI applications 2

discriminative models 3, 4, 6

generative models 3, 4, 6

generative models, implementing 6, 7

AI Winter 75

ALBERT

URL 359

AlexNet 87, 88

architecture 89, 90

AlphaFold 446

Amazon Web Services (AWS) 36

Kubeflow, installing 44, 45, 46

attention 348, 350

calculating 349

audio domain representation 376

autoencoder 265

architecture 274, 275, 276, 277

dataset preparation 267, 268, 269, 270, 271, 272, 273, 274

face swapper, training 278, 279, 280

results and limitations 280, 281, 283, 285

...

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Authors (2)

Joseph Babcock

See other products by Joseph Babcock

Raghav Bali

See other products by Raghav Bali

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