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91o291o t1_izwdjgr wrote

There's no way that you can understand DL unless you're proficient with some basic calculus (matrix multiplications, rank of a matrix, norms etc). You don't need to be good at math, but you really need to understand some concepts.

If you don't understand math, you won't improve, you will be just "imitating" people who know those concepts. You will be able to delay your complete failure, anyway.

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MightyDuck35 OP t1_izwzgor wrote

I'm readdy to do whatever it takes :D I cannot get it out of my head lately. It's very exciting.

What maths concepts should I learn about aside from calculus?

Thank you :)

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91o291o t1_j0153r3 wrote

Most DL books have an appendix with the linear algebra and calculus needed to understand what's in the book.

I've not seen it yet, but maybe you can take a look at the new course by Sebastian Raschka on the ligthning website?

I can't help with calcululs and algebra because I already know those subjects, so I can't tell you where to study such notions...

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MightyDuck35 OP t1_j01bzcg wrote

Thank you, but I think I've found a few resources for calculus and maths in general.

Again, Thank you :)

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crimson1206 t1_izxfkya wrote

To correct the other comment all the examples they mentioned are from linear algebra, though calculus is important too.

To understand the deep learning you’ll need linear algebra and multidimensional calculus. For some parts of deep learning you’ll also need probability & statistics knowledge.

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