Parallel Reverse Mode Automatic Differentiation in C# for Custom Neural Network Development
-
Updated
May 21, 2025 - C#
Parallel Reverse Mode Automatic Differentiation in C# for Custom Neural Network Development
A self-coded neural network from scratch for regression and classification tasks, featuring custom loss and activation functions. Developed as a B.Tech mini project.
Add a description, image, and links to the custom-neural-network topic page so that developers can more easily learn about it.
To associate your repository with the custom-neural-network topic, visit your repo's landing page and select "manage topics."