cleanup and update README

Author: pyoungkangkim

Dockerfile.cpu

@@ -1,44 +1,23 @@
-# Generative Deep Learning
+# Generative Deep Learning in Pytorch
 ### Teaching Machines to paint, write, compose and play
 
-The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
-
+The official code repository for examples in the O'Reilly book 'Generative Deep Learning' in Pytorch
 https://learning.oreilly.com/library/view/generative-deep-learning/9781492041931/
-
 https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947/ref=sr_1_1
 
-## 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
+## Book Contents, covered in Pytorch
 Part 1: Introduction to Generative Deep Learning
-* Chapter 1: Generative Modeling
-* Chapter 2: Deep Learning
-* Chapter 3: Variational Autoencoders
-* Chapter 4: Generative Adversarial Networks
+- [x] Chapter 3: Variational Autoencoders
+- [ ] Chapter 4: Generative Adversarial Networks
 
 Part 2: Teaching Machines to Paint, Write, Compose and Play
-* Chapter 5: Paint
-* Chapter 6: Write
-* Chapter 7: Compose
-* Chapter 8: Play
-* Chapter 9: The Future of Generative Modeling
-* Chapter 10: Conclusion
-
-
-## Getting started
-
-To get started, first install the required libraries inside a virtual environment:
-
-`pip install -r requirements.txt`
- 
-
+- [ ] Chapter 5: Paint
+- [ ] Chapter 6: Write
+- [ ] Chapter 7: Compose
+- [ ] Chapter 8: Play
+- [ ] Chapter 9: The Future of Generative Modeling
+- [ ] Chapter 10: Conclusion
 
+## requirements.txt
 
+I will update the requirements.txt after I finish all the examples. For now, just run pip install or conda install on dependencies you need!