Python Deep Learning Cookbook

Implementing a simple RNN

We start with implementing a simple form of a recurrent neural network to understand the basic idea of RNNs. In this example, we will feed the RNN four binary variables. These represent the weather types on a certain day. For example, [1, 0, 0, 0] stands for sunny and [1, 0, 1, 0] stands for sunny and windy. The target value is a double representing the percentage of rain on that day. For this problem, we can say that the quantity of rain on a certain day also depends on the values of the previous day. This makes this problem well suited for a 4-to-1 RNN model.