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I am curious why there is so much talk about deep learning and math. In my country calculus was part of high school curriculum as well as a hint of diff eqs. D

I am curious why there is so much talk about deep learning and math. In my country calculus was part of high school curriculum as well as a hint of diff eqs. DL theory is very undemanding in terms of math (cf quantum algorithms) and if you know basic differentiation its easy to have a very good grasp of the theory. I find it intellectually lazy to say than one should skip the math. I mean, learning programming is an equally difficult, if not more difficult task. Why is discussion so often about the math ?

Iv 9y ago
Same here. Even to understand the theory, the only maths tools you really need are differentiation of composite functions (derivatives of f(g(x)), taught in high school ), what a gradient is (taught in 5 minutes if not taught in high school), basic matrix operations (and I mean really basic ones like transposition, nothing fancy like finding kernels) and then you can undertand stochastic gradient descent. The hardest may be thinking in terms of higher dimension tensors (matrices that have 3 or more dimensions) but that is not even mathematics, just an intellectual effort.