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

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network. Over the past few months, the use of the Python programming ...

Neural network dropout is a technique that can be used during training. It is designed to reduce the likelihood of model overfitting. You can think of a neural network as a complex math equation that ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...