Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning!

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 ...

In this course, we’ll examine the history of neural networks and state-of-the-art approaches to deep learning. Students will learn to design neural network architectures and training procedures via ...

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 ...

The demo Python program uses back-propagation to create a simple neural network model that can predict the species of an iris flower using the famous Iris Dataset.