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spaceatmoon2020-10-27 14:31:59
IT education
spaceatmoon, 2020-10-27 14:31:59

How to start learning neural network programming in 2020?

I know there is already such a question How do I start learning programming neural networks? only it is 2 years old. I think something has already changed, something has been systematized.

I'm wondering in what order to study them? There are courses, this is understandable, but they are also not ideal, and if there were, I would not ask this question. What's there. Statistics, Linear Algebra, School Algebra(Need?), Python and R is understandable, but at what stage. Personally, I'm now interested in text processing.

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3 answer(s)
I
Ivan Shumov, 2020-10-27
@inoise

First, get a strong mathematical base at the university. Then everything else. A rare case when IT requires a tower just to be able to start doing something

D
dmshar, 2020-10-27
@dmshar

First, get acquainted with what is recommended to know BEFORE you start exploring Deep Learning:
https://www.analyticsvidhya.com/blog/2020/03/deep-... Get
acquainted with what you need to know in addition to mathematics for the Data Science class
https ://www.analyticsvidhya.com/blog/2020/03/deep-... ://www.mltut.com/best-way-to-learn-data-scien...
Create your RoadMap.
You definitely need to start with mathematics, which is necessary to understand how Deep Learning works:
https://towardsdatascience.com/the-roadmap-of-math...
or here:
https://www.datasciencecentral.com/profiles /blogs/...
Then, depending on your initial knowledge, "close" the gaps in the relevant sections. Along the way, you will begin to understand what is needed specifically for the direction you have chosen "text processing" and what is not included in the basic set of knowledge and will deepen your knowledge in this direction, for example:
https://www.kdnuggets.com/2020/10/roadmap -natural-... Something
like this.
Although all the sources above are not older than half a year, I would not undertake to state so categorically that advice on this topic two years ago is outdated. So you can use them without fear.

R
Ronald McDonald, 2020-10-27
@Zoominger

I think something has already changed, something has been systematized.

No.

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