How to learn all the necessary mathematics for neural networks?

Question

Mathematics

I have a mathematical education in meringue 9 classes. How to learn all the necessary mathematics for neural networks from my level? Maybe you have a list of some literature, consecutive references. Also, I know English quite well, so literature in English will not cause any difficulties.

UPD: I left college after the 9th. Graduated from it. I'm not a schoolboy if anything, now I'm 29 years old. When I was still in college, we didn't have math.

Thank you.

Answer 1

Well, after the 9th, you can sign up for the nearest university library and take a textbook on higher mathematics, at least for the first 3 courses.

Answer 2

Get a secondary education. Then enter the university at the Faculty of Mathematics.

Answer 3

And why only mathematics for neural networks? Why don't you need programming?
Why only for neural networks? Neural networks are one of the branches of machine learning. Yes, the most fashionable, but only one of. (Until you master the "mathematics" everything can change and cool).
It's like schoolchildren asking what language to learn in order to become a mobile developer. Not realizing that there is no profession "mobile application developer". There is a profession "programmer-developer". So it is with neural networks.
There are dozens of people who consider the skills that a person who wants to become a machine learning specialist
should have . And mathematics is the most important, but one of the necessary skills.
But the roadmap is only according to
statistics,
And in general - The Roadmap of Mathematics for Deep Learning
And this is only from the latest. If you strain a little, you can find a lot of useful things for such simple questions. For example , what kind of mathematics should machine learning specialists know after graduating from a decent university.
In any case, I advise you to start by mastering the slides on self-google to answer questions that are asked ten per month even on this site. Without this, there is practically nothing to do in machine learning.