In Chapter 6, we covered feedforward neural networks, which are the most basic artificial neural network types. Then, we covered convolutional neural networks in Chapter 7 as the type of artificial neural network architecture, which performs exceptionally good on image data. Now, it is time to cover another type of artificial neural network architecture, recurrent neural network, or RNN, designed particularly to deal with sequential data.
Sequence Data and Time-Series Data
RNNs are extremely useful for sequence data . If you are familiar with predictive analytics, ...
