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Implementing backpropagation #2

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Kerollmops opened this issue Dec 21, 2021 · 1 comment

Kerollmops commented Dec 21, 2021

Hey,

I wanted to implement a simple and basic word2vec neural network in Rust using a skip-gram model, by hand. I remembered your library from a Reddit post and thought about maybe implementing backpropagation in your library. Can you give me some help on where and how I should implement it? I will probably follow a basic python tutorial on how it works.

Have a good day!

Owner

c0dearm commented May 24, 2022

Hi! Backpropagation is now automatically implemented by doing reverse autodifferentiation.

The issue is not relevant anymore.

c0dearm closed this as completed

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