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nonzerosum.games
| | udara.io
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| | ideas, work and experiments
| | jedidiah.dev
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| | I made this implementation of Conway's Game of Life using a webworker in an offscreen canvas. Each new generation is returned by a generator function.
| | blog.vrypan.net
5.0 parsecs away

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| | cellular automata + art + NFT
| | programmathically.com
14.4 parsecs away

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| Sharing is caringTweetIn this post, we develop an understanding of why gradients can vanish or explode when training deep neural networks. Furthermore, we look at some strategies for avoiding exploding and vanishing gradients. The vanishing gradient problem describes a situation encountered in the training of neural networks where the gradients used to update the weights []