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This repository contains Tensorflow 2 code for Generative Adversarial Networks chapter of Dive into Deep Learning (D2L) book.

Jupyter Notebook 98.87% Python 1.13%
deep-learning generative-adversarial-network gans d2l d2l-generative-adversarial-networks tensorflow gan

d2l_generative_adversarial_networks_in_tf's Introduction

Tensorflow 2.4.1

Tensorflow 2 code for D2L book's Generative Adversarial Networks (GANs) chapter

This code has been merged with D2L book. See PR: 1760

This repository contains Tensorflow 2 code for Generative Adversarial Networks chapter of Dive into Deep Learning (D2L) book. The chapter has 2 sections and code for each section can be found at the following links.

17.1. Generative Adversarial Networks

17.2. Deep Convolutional Generative Adversarial Networks

Additional Chapters:

Chapter 10: Attention Mechanisms

How to run these code:

The best way (in our opinion) is to either clone the repo (or download the zipped repo) and then run each notebook from the cloned (or extracted) folder. All the notebooks will run without any issue.

Note: We claim no originality for the code. Credit goes to the authors of this excellent book. However, all errors and omissions are my own and readers are encouraged to bring it to my notice. Finally, no TF code was available (to the best of my knowledge) for Generative Adversarial Networks chapter when this repo was first made public.

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