I Built a Neural Network in C# From Scratch. Here’s What I Learned… скачать в хорошем качестве

I Built a Neural Network in C# From Scratch. Here’s What I Learned…

Get the source code for this video for FREE → https://the-dotnet-weekly.ck.page/neu... Want to master Clean Architecture? Go here: https://bit.ly/3PupkOJ Want to unlock Modular Monoliths? Go here: https://bit.ly/3SXlzSt Join a community of 1000+ .NET developers:   / milanjovanovic   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-... Check out my courses: https://www.milanjovanovic.tech/courses Read my Blog here: https://www.milanjovanovic.tech/blog Join my weekly .NET newsletter: https://www.milanjovanovic.tech 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