Summary
Wow! I think we have learned a lot in this first chapter, from understanding pixel probability distribution to using it to build a probabilistic model to generate images. We learned how to build custom layers with TensorFlow 2 and use them to construct autoregressive PixelCNN models to generate images of handwritten digits.
In the next chapter, we will learn how to do representation with VAEs. This time, we will look at pixels from a whole new perspective. We will train a neural network to learn facial attributes, and you'll perform face edits, such as morphing a sad-looking girl into a smiling man with a mustache.
