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…
![Implementing Backpropagation in Python: Building a Neural Network from Scratch](https://andresberejnoi.com/wp-content/uploads/2023/04/Tiny-Neural-Network-With-Bias-Nodes.png)