Putting it all together

Putting all the concepts we have learned so far together, we will see how to build a neural network from scratch. We will understand how the neural network learns to perform the XOR gate operation. The XOR gate returns 1 only when exactly only one of its inputs is 1, else it returns 0, as shown in Table 7.1:

Table 7.1: XOR operation

Building a neural network from scratch

To perform the XOR gate operation, we build a simple two-layer neural network, as shown in the following diagram. As you can see, we have an input layer with two nodes, a hidden layer with five nodes and an output layer comprising one node:

Figure 7.13: ANN

We will understand step-by-step how a neural network learns the XOR logic:

1. First, import the libraries:

   import numpy as np
   import matplotlib.pyplot as plt
   %matplotlib inline
   

2. Prepare the data as shown in the preceding XOR table:

   X = np.array([ [0, 1], [1, 0], [1, 1],[0...