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…
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How To Build a Feedforward Neural Network In Python
Welcome back to another Python post. Today’s topic is about how to create a feedforward neural network in Python, from scratch. That means, without using Tensorflow, Keras, Pytorch, etc. The main library we’ll be using is numpy, which is the computing library for Python. I usually like to understand the underlying concepts of how things…