Hands-On Deep Learning Algorithms with Python

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:

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

1. First, import the libraries:

import numpy as npimport 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, 0] ])y = p.array([ [1], [1], [0], [0]])

3. Define the number of nodes in each layer:

num_input = ...