Summary

This chapter reveals a full implementation of a chatbot system that manages to construct a short conversation. The prototype shows, in detail, each stage of building the intelligent chatbot. This includes collecting data, training the network, and making predictions (generating conversation). 

For the network's architecture, we use the powerful encoder-decoder sequence-to-sequence model that utilizes two recurrent neural networks, while connecting them using an encoder vector. For the actual implementation, we make use of a deep learning library built on top of TensorFlow, called TensorLayer. It simplifies most of the work by introducing simple one-line implementations of standard models such as sequence-to sequence. In addition, this library is useful for preprocessing your data before using it for training.

The next chapter shifts focus to, probably, the...