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 ...

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

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

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...

When we discuss neural networks, this is always the hitch. In a broad sense, there is no problem solvable with a neural network that isn’t solvable using traditional techniques.

(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 ...