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This is one of the best explanations of an ML topic that I've read in a long time. It strikes a great balance of being approachable for non-experts and being in
by skewart 11y ago
This is one of the best explanations of an ML topic that I've read in a long time. It strikes a great balance of being approachable for non-experts and being in-depth enough to give a reader a feeling that they understand how things work.
- ktRolster 11y agoA lot of machine learning documentation/explanations are really difficult, the math is really deep.
- sjg007 11y agoThere's the grad student from STanford who describes ML and NNs using circuits and a"forces" analogy which may be useful for CS folks. I found it illuminating.
- raverbashing 11y agohttps://karpathy.github.io/neuralnets/ https://karpathy.github.io/neuralnets/