Implementing a Neural Network From Scratch in Python

Implement a neural network from scratch in Python using this 21-minute tutorial. Learn how to represent network data and perform forward propagation for a Multilayer Perceptron. Build upon previous knowledge of neural network computation, focusing on practical implementation using Python and numpy. Follow along as the instructor constructs the network, initializes weights, and demonstrates forward propagation. Access provided code examples to reinforce understanding and practice implementation. Gain hands-on experience in neural network development, essential for deep learning and audio processing applications.

Introduction
Constructor
Weight
Forward Propagation
Running the script
Outro