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Software engineers go crazy for the most ridiculous things. We like to think that weâre hyper-rational, but when we have to choose a technology, we end up in a kind of frenzy â bouncing from one personâs Hacker News comment to anotherâs blog post until, in a stupor, we float helplessly toward the brightest light and lay prone in front of it, oblivious to what we were looking for in the first place
We show how the success of deep learning could depend not only on mathematics but also on physics: although well-known mathematical theorems guarantee that neural networks can approximate arbitrary functions well, the class of functions of practical interest can frequently be approximated through "cheap learning" with exponentially fewer parameters than generic ones. We explore how properties freq
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