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In this video, we'll cover the theoretical foundations of neural networks, explore their architecture, and then put theory into practice by building a working neural network using C#. The neural network will learn to recognize handwritten digits with more than 99%+ accuracy.

Whether you're a C# developer looking to explore AI or an AI enthusiast curious about implementation details, this video offers a practical and insightful look into the world of neural networks.

Digit Recognizer: https://github.com/m-jovanovic/digit-...

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Chapters
0:00 Neural Networks - Introduction
1:24 Theory behind neural networks
6:43 Gradient Descent, Backpropagation
9:28 Supervised Learning
10:42 Digit Recognizer in C#
12:54 Demo: Neural Network training
14:42 Demo: Digit Recognizer UI
16:39 Achieving 99%+ accuracy