Neural Networks - Intelligence and Learning - Session 4

Explore neural networks from the ground up in this comprehensive video series that builds fundamental understanding through hands-on coding examples. Begin with an introduction to neural network concepts before diving deep into perceptrons, starting with single-layer implementations and progressing to multilayer perceptrons. Master the essential mathematical foundations by working through matrix operations across multiple detailed sessions, then update your code to modern ES6 standards. Implement the feedforward algorithm step-by-step across two focused sessions, followed by an extensive five-part exploration of the backpropagation algorithm that covers the mathematical principles and practical implementation details. Apply your knowledge through two practical coding challenges: solving the classic XOR problem and building a neural network that predicts colors. Access accompanying code examples and resources through the provided GitHub repository to follow along with each lesson and experiment with the implementations.

Syllabus

10.1: Introduction to Neural Networks - The Nature of Code
10.2: Neural Networks: Perceptron Part 1 - The Nature of Code
10.3: Neural Networks: Perceptron Part 2 - The Nature of Code
10.4: Neural Networks: Multilayer Perceptron Part 1 - The Nature of Code
10.5: Neural Networks: Multilayer Perceptron Part 2 - The Nature of Code
10.6: Neural Networks: Matrix Math Part 1 - The Nature of Code
10.7: Neural Networks: Matrix Math Part 2 - The Nature of Code
10.8: Neural Networks: Updating Code to ES6 - The Nature of Code
10.9: Neural Networks: Matrix Math Part 3 - The Nature of Code
10.10: Neural Networks: Matrix Math Part 4 - The Nature of Code
10.11: Neural Networks: Matrix Class Improvements - The Nature of Code
10.12: Neural Networks: Feedforward Algorithm Part 1 - The Nature of Code
10.13: Neural Networks: Feedforward Algorithm Part 2 - The Nature of Code
10.14: Neural Networks: Backpropagation Part 1 - The Nature of Code
10.15: Neural Networks: Backpropagation Part 2 - The Nature of Code
10.16: Neural Networks: Backpropagation Part 3 - The Nature of Code
10.17: Neural Networks: Backpropagation Part 4 - The Nature of Code
10.18: Neural Networks: Backpropagation Part 5 - The Nature of Code
Coding Challenge #92: XOR Problem
Coding Challenge #99: Neural Network Color Predictor