Generative Deep Learning

Teaching Machines to paint, write, compose and play

The official code repository for examples in the O'Reilly book 'Generative Deep Learning' This repository will be constantly updated as new chapters are relased.

Structure

This repository is structured as follows:

The notebooks for each chapter are in the root of the repository, prefixed with the chapter number.

The data folder is where to download relevant data sources (chapter 3 onwards) The run folder stores output from the generative models (chapter 3 onwards) The utils folder stores useful functions that are sourced by the main notebooks

Book Contents

Chapter 1: Generative Modelling
Chapter 2: Deep Learning
Chapter 3: Variational Autoencoders
Chapter 4: Generative Adversarial Networks
Chapter 5: Paint
Chapter 6: Write
Chapter 7: Compose
Chapter 8: Play
Chapter 9: Conclusion

Getting started

To get started, first install the required library inside a virtual environment:

pip install -r requirements.txt

Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
data		data
models		models
run		run
scripts		scripts
utils		utils
.gitignore		.gitignore
02_01_deep_learning_deep_neural_network.ipynb		02_01_deep_learning_deep_neural_network.ipynb
02_02_deep_learning_convolutions.ipynb		02_02_deep_learning_convolutions.ipynb
02_03_deep_learning_conv_neural_network.ipynb		02_03_deep_learning_conv_neural_network.ipynb
03_01_autoencoder_train.ipynb		03_01_autoencoder_train.ipynb
03_02_autoencoder_analysis.ipynb		03_02_autoencoder_analysis.ipynb
03_03_vae_digits_train.ipynb		03_03_vae_digits_train.ipynb
03_04_vae_digits_analysis.ipynb		03_04_vae_digits_analysis.ipynb
03_05_vae_faces_train.ipynb		03_05_vae_faces_train.ipynb
03_06_vae_faces_analysis.ipynb		03_06_vae_faces_analysis.ipynb
04_01_gan_camel_train.ipynb		04_01_gan_camel_train.ipynb
04_02_wgan_cifar_train.ipynb		04_02_wgan_cifar_train.ipynb
04_03_wgangp_faces_train.ipynb		04_03_wgangp_faces_train.ipynb
05_01_cyclegan_train.ipynb		05_01_cyclegan_train.ipynb
06_01_lstm_text_train.ipynb		06_01_lstm_text_train.ipynb
06_02_qa_train.ipynb		06_02_qa_train.ipynb
06_03_qa_analysis.ipynb		06_03_qa_analysis.ipynb
07_01_notation_compose.ipynb		07_01_notation_compose.ipynb
07_02_lstm_compose_train.ipynb		07_02_lstm_compose_train.ipynb
07_03_lstm_compose_predict.ipynb		07_03_lstm_compose_predict.ipynb
07_04_musegan_train.ipynb		07_04_musegan_train.ipynb
07_05_musegan_analysis.ipynb		07_05_musegan_analysis.ipynb
09_01_positional_encoding		09_01_positional_encoding
LICENSE		LICENSE
README.md		README.md
requirements.txt		requirements.txt

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chengjingfeng/GDL_code

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Generative Deep Learning

Teaching Machines to paint, write, compose and play

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