Summary

In this chapter, you learned about a very exciting class of machine learning models called generative models. You discovered the amazing potential of this new and continually developing field in machine learning by using a generative LSTM on a language modeling challenge to generate textual output.

Then, you learned about generative adversarial models. You implemented a GAN to generate data for a normal distribution of points. You also went even further into deep convolutional neural networks (DCGANS), discovering how to use one of the most powerful applications of GANs while creating new images of tomatoes and bananas that exhibited human-recognizable characteristics of the fruits on which they were trained.

We hope you enjoyed the final chapter of The TensorFlow Workshop and the book as a whole.

Let's take a look back at the amazing journey that you have completed. First, you started by learning the basics of TensorFlow and how to perform operations on...