Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python

© Umberto Michelucci 2022

U. MichelucciApplied Deep Learning with TensorFlow 2https://doi.org/10.1007/978-1-4842-8020-1_8

8. A Brief Introduction to Recurrent Neural Networks

Umberto Michelucci¹  

(1)

Dübendorf, Switzerland

 

In the last chapter, we looked at convolutional neural networks (CNNs). Another network architecture that is widely used (for example, in natural language processing) is the recurrent one. Networks with this architecture are called recurrent neural networks, or RNNs. This chapter is a superficial description of how RNNs work, with one small application that should help you better understand their inner workings. A full explanation of RNNs would require multiple books, so the goal of this chapter is to give you a very basic understanding ...