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 on RNNs for creating Shakespearean 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
All the code to this chapter can be found online at https://github.com/nfmcclure/tensorflow_cookbook and at the Packt online repository: https://github.com/PacktPublishing/TensorFlow-Machine-Learning-Cookbook-Second-Edition.
