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MichaelHirn avatar MichaelHirn commented on August 16, 2024 3

I think, the first version of the book would be ready for review.

I hosted it for now at http://autumnai.com/leaf/book/. I hope, this makes reading the chapters more convenient.

Looking forward to hear what you think :)

EDIT: flashed out the second sentence.

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mgattozzi avatar mgattozzi commented on August 16, 2024 1

I would also be interested in helping out/being a guinea pig. I've been doing Machine Learning at school so contributing to a project like this would be beneficial in expanding my knowledge of it. Especially a Rust based one.

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ujh avatar ujh commented on August 16, 2024

Sounds good! I can be one of your Guinea pigs for this. I'd be fine with requiring some prior knowledge on ML and deep learning provided that you link to good introductory material. I mean, there must be good material out there and I don't see the point of making the effort to duplicating this. At least not initially.

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MichaelHirn avatar MichaelHirn commented on August 16, 2024

Ohh, I like that. Thank you for helping out. Progress can be tracked at the MichaelHirn/book branch for now. I plan to make a WIP PR as soon as the first basics are there.

I also agree with your idea on requiring a basic understanding of ML/Deep Learning for the Leaf Book. I actually don't know a lot of good material for this. One that comes to my mind is A 'brief' history of Deep Learning although a more basic introduction is still required.

BTW, the Book can be build after cloning the branch with

~/.cargo/bin/mdbook watch ./doc

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ujh avatar ujh commented on August 16, 2024

The following (free) online book has been recommended to me as an introduction to deep learning: http://neuralnetworksanddeeplearning.com/

I haven't read it yet so I can't say if it's good or not.

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mgattozzi avatar mgattozzi commented on August 16, 2024

@ujh Thanks for the link! I'll dig into it over the weekend.

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alexandermorozov avatar alexandermorozov commented on August 16, 2024

There is also http://cs231n.github.io/. It's quite easy to follow and isn't very heavy on math, but reading it once from start to end feels enough to be able to implement a working NN.

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KodrAus avatar KodrAus commented on August 16, 2024

Thanks for the awesome work @MichaelHirn I've opened a PR for my copyediting as I go.

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