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gist.github.com | ||
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dennybritz.com
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| | | | | All the code is also available as an Jupyter notebook on Github. | |
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vankessel.io
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| | | | | A blog for my thoughts. Mostly philosophy, math, and programming. | |
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blog.owulveryck.info
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| | | | | You may know how enthusiast I am about machine learning. A while ago I discovered recurrent neural networks. I have read that this 'tool' allow to predict the future! Is this a kind of magic? I have read a lot of stuffs about the 'unreasonable effectiveness' of this mechanism. The litteracy that gives deep explanation exists and is excellent. There is also plehtora of examples, but most of them are using python and a calcul framework. To fully undestand how things work (as I am not a data-scientist), I needed to write my own tool 'from scratch'. This is what this post is about: a more-or-less 'from scratch' implementation of a RNN in go that can be used to applied to a lot of examples | |
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www.moxleystratton.com
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