You don't have to resort to writing C++ to work with popular machine learning libraries such as Microsoft's CNTK and Google's TensorFlow. Instead, we'll use some Python and NumPy to tackle the task of ...

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 ...

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 ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...

(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 ...