And the ability to implement a neural network from scratch gives you the ability to experiment with custom algorithms. The version of back-propagation presented in this article is basic. In future ...

With the help of Python and the NumPy add-on package, I'll explain how to implement back-propagation training using momentum.

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch. Dropout in Neural Network is a regularization technique in Deep Learning to ...

(a) Schematic diagram of a biological neural network and (b) circuit schematic of an artificial neural network implemented in hardware using an artificial neuromorphic device. (c) Experimental results ...