# micrograd_rs
A Rust Beginner's implementation of [Andrej karpathy's micrograd](https://github.com/karpathy/micrograd). <br>
Here's [Link](https://www.youtube.com/watch?v=VMj-3S1tku0) to the YouTube video. <br>
Also thanks to [micrograd-rust](https://github.com/sloganking/micrograd-rust) for reference implementation in rust.
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## The current implementation is limited to:<br>
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* scalar valued autograd
* Implementation of forward and backward pass for arithmetic operations and power operation.
* Implementation of forward and backward pass for activation functions - tanh and relu.
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## Sample Output: <br>
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![Sample Training Output for MLP](./img/train.png)

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## TO-DO:
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* graph visulization using libraries like [graphviz](https://graphviz.org/download/)
* Implementation of Tensor type library from scratch
* Improve implementation of MLP, activations etc for Tensors.