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

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

With the help of Python and the NumPy add-on package, I'll explain how to implement back-propagation training using momentum. Neural network momentum is a simple technique that often improves both ...

However, these neural libraries are very complex and require significant time and effort to learn. For many problems, a simple neural network with a single hidden layer is effective, and implementing ...

Here, we begin with a theoretical proposal for a fully optical architecture for implementing general deep neural network algorithms using nanophotonic circuits that process coherent light.