Implementing Backpropagation in Python: Building a Neural Network from Scratch

Implementing Backpropagation in Python: Building a Neural Network from Scratch

In today’s post, I will implement a matrix-based backpropagation algorithm with gradient descent in Python. For this purpose, we’ll only use the Numpy library to explain a bit of the mathematics behind the process (mainly multivariate calculus). To better cement the concept, we’ll build an XOR neural network (a network that learns to behave like…