How to Implement the Backpropagation Algorithm From Scratch In Python - Machine Learning Mastery

The backpropagation algorithm is the classical feed-forward artificial neural network. It is the technique still used to train large deep learning networks. In this tutorial, you will discover how to implement the backpropagation algorithm from scratch with Python. How to Implement the Backpropagation Algorithm From Scratch In Python Photo by NICHD, some rights reserved. This section provides a brief introduction to the Backpropagation Algorithm and the Wheat Seeds dataset that we will be using in this tutorial. The Backpropagation algorithm is a supervised learning method for multilayer feed-forward networks from the field of Artificial Neural Networks. Feed-forward neural networks are inspired by the information processing of one or more neural cells, called a neuron. A neuron accepts input signals via its dendrites, which pass the electrical signal down to the cell body.