Neural Network implementation in C# using backpropagation!
This video will look at the code implementation in C# and Unity of a simple Machine Learning Neural Network that uses backpropagation. We will also discuss some network hyperparameters such as the learning rate and weight decay. Hope you enjoy!
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| My introduction video on Neural Networks: • An introduction to Neural Networks!
| A cool article that shows the best practices for weight initialization: https://towardsdatascience.com/weight...
| 3blue1brown's math series on Neural Networks: https://www.3blue1brown.com/neural-ne...
| An article on tweaking the learning rate for your network: https://machinelearningmastery.com/le...
| An article on weight decay: https://towardsdatascience.com/this-t...
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| My Neural Network example App in Unity, C#:
Download it for Windows and Linux: https://github.com/rotolonico/NeuralN...
Try it out on your browser (it might lag): https://rotolonico.github.io/NeuralNe...
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| Check out my Machine Learning in Unity playlist: • An introduction to Neural Networks!
| Download this video's code: https://gist.github.com/rotolonico/6a...
| Join my coding discord: / discord
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Music used in the video:
| Jesse Gallagher - Divine Life Society
| Kevin MacLeod - Captain Scurvy
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Chapters
0:00 Introduction
1:43 Let's start coding
2:44 Variables
5:52 Class Constructor
11:05 Test() Function
14:39 Train() Function
25:39 Hyperparameters
29:56 Conclusion
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#machinelearning #unity3d #csharp