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.

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

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.

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 ...

(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 ...