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Hands-On Image Generation with TensorFlow

You're reading from Hands-On Image Generation with TensorFlow

Product type Book

Published in Dec 2020

Publisher Packt

ISBN-13 9781838826789

Pages 306 pages

Edition 1st Edition

Languages

Concepts

Computer Vision

Author (1):

Soon Yau Cheong

Table of Contents (15) Chapters

Preface

1. Section 1: Fundamentals of Image Generation with TensorFlow

2. Chapter 1: Getting Started with Image Generation Using TensorFlow

3. Chapter 2: Variational Autoencoder

4. Chapter 3: Generative Adversarial Network

5. Section 2: Applications of Deep Generative Models

6. Chapter 4: Image-to-Image Translation

7. Chapter 5: Style Transfer

8. Chapter 6: AI Painter

9. Section 3: Advanced Deep Generative Techniques

10. Chapter 7: High Fidelity Face Generation

11. Chapter 8: Self-Attention for Image Generation

12. Chapter 9: Video Synthesis

13. Chapter 10: Road Ahead

14. Other Books You May Enjoy

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Putting your skills into practice

Now, you can apply the skills you have learned to implement your own image generation projects. Before you start, there are some pitfalls you should look out for and also some practical advice that you can follow.

Don't trust everything you read

A new academic paper is published and shows astonishing images generated by their model! Take it with a pinch of salt. Usually, these papers handpick the best result to showcase and hide the failed examples. Furthermore, the images are shrunk down to fit onto the paper, thus the image artifacts may not be visible from the paper. Before investing your time in using or re-implementing the information in the paper, try to find other resources of the claimed results. This can be the author's website or GitHub repository, which may contain the raw, high-definition images and videos.

How big is your GPU?

Deep learning models, especially GANs, are computationally expensive. Many of the state...

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Authors (1)

Soon Yau Cheong

Soon Yau Cheong is an AI consultant and the founder of Sooner.ai Ltd. With a history of being associated with industry giants such as NVIDIA and Qualcomm, he provides consultation in the various domains of AI, such as deep learning, computer vision, natural language processing, and big data analytics. He was awarded a full scholarship to study for his PhD at the University of Bristol while working as a teaching assistant. He is also a mentor for AI courses with Udacity.

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