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thenumb.at | ||
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liorsinai.github.io
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| | | | | A series on automatic differentiation in Julia. Part 1 provides an overview and defines explicit chain rules. | |
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sriku.org
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jingnanshi.com
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| | | | | Tutorial on automatic differentiation | |
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jeremykun.com
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| | | Hard to believe Sanjeev Arora and his coauthors consider it"a basic tool [that should be] taught to all algorithms students together with divide-and-conquer, dynamic programming, and random sampling."Christos Papadimitriou calls it"so hard to believe that it has been discovered five times and forgotten." It has formed the basis of algorithms inmachine learning, optimization, game theory, | ||
