What math/stats is needed for Deep Learning?

Mostly just Calculus, linear algebra, statistics and probability theory, and even then it isn't that in depth. I like Siraj Raval's youtube videos for a quick high-level overview, even though they are pretty meme-y. For more detail the stanford courses on youtube like cs231 are good.

>>9073681
I don't have a stats / probability background. I avoided them in favor of upper level pure math courses. Where is a good place to learn statistics / probability 101 needed for DL? Is Discrete Probability used any?

>>9073700
Its really like the most basic stuff, even khan academy would be fine. You barely need math at all just to apply some pre-made framework like tensorflow. There are a lot of other things you might need math for depending on what you are applying deep learning to but the neural networks themselves are just matrix multiplications and gradients.

>>9073700
https://www.youtube.com/watch?v=N4gDikiec8E

>>9073706
>>9073712
Excellent thanks. Makes me feel less bad focusing on more pure areas. I will dig in. Keras looks like a good thing to be familiar with as well.

>>9073720
personally, I really like Pytorch

>>9073675

Everything in the discrete probability chapter of Concrete Mathematics