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www.hhyu.org | ||
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robotchinwag.com
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| | | | | Deriving the gradients for the backward pass for matrix multiplication using tensor calculus | |
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0fps.net
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| | | | | (This is the sequel to the following post on SmoothLife. For background information go there, or read Stephan Rafler's paper on SmoothLife here.) Last time, we talked about an interesting generalization of Conway's Game of Life and walked through the details of how it was derived, and investigated some strategies for discretizing it. Today, let's... | |
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bdtechtalks.com
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| | | | | Gradient descent is the main technique for training machine learning and deep learning models. Read all about it. | |
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www.quantamagazine.org
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| | | Number theorist Andrew Granville on what mathematics really is - and why objectivity is never quite within reach. | ||
