biraj21/neural-networks-from-scratch
Neural Networks from scratch in Go.
This project helps developers understand the fundamental building blocks of neural networks by providing a direct implementation of core concepts in Go. It allows you to see how basic tensor operations and neural network architectures are constructed without relying on high-level libraries. This is useful for software engineers who want to deeply grasp the underlying mechanics of machine learning frameworks.
No commits in the last 6 months.
Use this if you are a Go developer who wants to learn the absolute basics of neural network implementation and numerical computing from first principles.
Not ideal if you need a production-ready neural network library for building applications or are not interested in the low-level mechanics of ML.
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Go
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Last pushed
Jul 07, 2024
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