Recurrent Neural Networks and Other Deep Learning Models
In this chapter, we are going to learn about deep learning and Recurrent Neural Networks (RNNs). Like CNNs covered in previous chapters, RNNs have also gained a lot of momentum over the last few years. In the case of RNNs, they are heavily used in the area of speech recognition. Many of today's chatbots have built their foundation on RNN technologies. There has been some success predicting financial markets using RNNs. As an example, we might have a text with a sequence of words, and we have an objective to predict the next word in the sequence.
We will discuss the architecture of RNNs and their components. We will continue using TensorFlow, which we started learning about in the previous chapter. We will use TensorFlow to quickly build RNNs. We will also learn how to build an RNN classifier using a single layer neural network. We will then build an image classifier using a CNN.
By the end of this chapter...
