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Writing a Neural Net from Scratch - Joe Albahari

NDC Conferences

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  • Recommended by 1 person: 1 in engineering communities.
  • Presented by Joe Albahari
  • May be out of date. Uploaded 8 years ago, in an area where tools change fast.

Intermediate. Assumes working knowledge.

14K views8 years ago1 recommendation

AI and machine learningProgramming languagesNeural networks and deep learningC# and .NETAlgorithms

Joe Albahari demonstrates how to build a neural network for image recognition from scratch in C# using LINQPad without external libraries.

The best way to understand neural networks is to get your hands dirty and write one. In this session, I'll show you how to code up a neural net for image recognition from scratch - all in C#, and without using any libraries. From the bottom up, we'll discover gradient descent, activation functions, and backpropagation. We'll work entirely in LINQPad - with no complex maths, no Python, and no libraries. And you'll get to keep the code! NDC Conferences ndcsydney.com ndcconferences.com

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1 person recommends this

What people say. Recommended as an excellent, library-free walkthrough of neural network fundamentals using C#.

u/darkjeepersin r/dotnet • Recommends

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