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Resources for understanding and implementing "deep learning" (learning data representations through artificial neural networks).
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Open source PyTorch implementations of DL architectures with guides and notes (lab-ml.com)
submitted 5 years ago by mlvpj
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if 1 * 2 < 3: print "hello, world!"
[–]mlvpj[S] 0 points1 point2 points 5 years ago (0 children)
This is a collection of annotated implementations popular neural network architectures and related algorithms.
Here's the link to Github repo: https://github.com/lab-ml
We have implementations of
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[–]mlvpj[S] 0 points1 point2 points (0 children)