In this chapter, we will cover recurrent neural networks (RNNs) and how to implement them in TensorFlow. We will start by demonstrating how to use an RNN to predict spam.We will then introduce a variant of RNNs for creating Shakespeare text.We will finish by creating an RNN sequence-to-sequence model to translate from English to German:
Implementing RNNs for Spam Prediction
Implementing an LSTM Model
Stacking multiple LSTM Layers
Creating Sequence-to-Sequence Models
Training a Siamese Similarity Measure
As a note, all the code to this chapter can be found online at https://github.com/nfmcclure/tensorflow_cookbook.