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# coding a machine learning library in c from scratch

**[YouTube](https://daily.dev/sources/youtube)** · 146 min read · 1 upvotes · 0 comments

## Summary

A detailed walkthrough of building a machine learning library from scratch in C, covering tensor operations, automatic differentiation using computational graphs, and training a neural network to recognize handwritten digits from the MNIST dataset. The implementation includes matrix operations, activation functions (ReLU, softmax), loss functions (cross-entropy), and a reverse-mode automatic differentiation system using topological sorting of computational graphs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=hL_n_GljC0I>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#c](https://daily.dev/tags/c), [#neural-networks](https://daily.dev/tags/neural-networks), [#mnist](https://daily.dev/tags/mnist)

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