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betterwithout.ai | ||
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www.chrisritchie.org
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blog.google
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| | | | | Neural networks can train computers to learn in a way similar to humans. Googler Maithra Raghu explains how they work. | |
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tomhume.org
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| | | | | I don't remember how I came across it, but this is one of the most exciting papers I've read recently. The authors train a neural network that tries to identify the next in a sequence of MNIST samples, presented in digit order. The interesting part is that when they include a proxy for energy usage in the loss function (i.e. train it to be more energy-efficient), the resulting network seems to exhibit the characteristics of predictive coding: some units seem to be responsible for predictions, others for encoding prediction error. | |
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tcode2k16.github.io
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| | | a random blog about cybersecurity and programming | ||
