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eli.thegreenplace.net | ||
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jingnanshi.com
Tutorial on automatic differentiation |
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theorydish.blog
The chain rule is a fundamental result in calculus. Roughly speaking, it states that if a variable $latex c$ is a differentiable function of intermediate variables $latex b_1,\ldots,b_n$, and each intermediate variable $latex b_i$ is itself a differentiable function of $latex a$, then we can compute the derivative $latex \frac{{\mathrm d} c}{{\mathrm d} a}$ as... |
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lisyarus.github.io
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www.lesswrong.com
A neural net using rectified linear unit activation functions of any size is unable to approximate the function sin(x) outside a compact interval. ... |
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