In this chapter, you explored how to build a simple recurrent neural network to solve the problem of identifying sequence parity. You obtained a brief understanding of the TensorFlow library and how it can be utilized for building deep learning models. I hope the study of this chapter leaves you more confident in your deep learning knowledge, as well as excited to learn and grow more in this field.
In the next chapter, you will go a step further by implementing a more sophisticated neural network for the task of generating text. You will gain both theoretical and practical experience. This will result in you learning about a new type of network, GRU, and understanding how to implement it in TensorFlow. In addition, you will face the challenge of formatting your input text correctly as well as using it for training the TensorFlow graph.
I can assure you that...
