Python‎ > ‎

How to Code a Neural Network with Backpropagation from scratch In Python

posted Aug 20, 2019, 7:56 AM by Chris G   [ updated Aug 20, 2019, 7:57 AM ]

The backpropagation algorithm is used in 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 for a neural network from scratch with Python.

After completing this tutorial, you will know:

  • How to forward-propagate an input to calculate an output.
  • How to back-propagate error and train a network.
  • How to apply the backpropagation algorithm to a real-world predictive modeling problem.

Comments