22.3. Single Variable Calculus — Dive into Deep Learning 1.0.0-beta0 documentation Can someone please explain the third line? Like how it was derived
It uses the property that:
The tricky thing is that f in this case would be g, x would be h(x) and epsilon would actually be epsilon * dh/dx(x)
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Thanks Brian! It is very much clear now!
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