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Phylosopher
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- TL;DR Summary
- Doing my master thesis in physics using machine learning (geared toward physics not machine learning). I can not afford learning neural networks "the regular way" because lack of time. What should I start with?
Hello everyone,
I am currently a master student working on physics and neural networks. I have already started producing neural network results (I use tensorflow and keras) so I know how to program the basic things that I am required to do, the problem is that I do not understand them well.
I do not have a good solid background when it comes to the neural networks themselves, and as a master student working on his thesis, I can not/I do not want to write my thesis blindly. I want to truly understand the behavior of my program.
Problem is, I can not afford reading a 600 page book on ML! My idea was to read the papers that are mentioned in the tensorflow pages once I use a specific function or class(Example: Here). But as I said, I do not have a solid background to read them properly.
So, my question is, what resources you think I should read first before I delve deeper in these papers? I need the bare minimum so I can accelerate my learning.
Things I have bookmarked so far that I think are useful:: Quick hand on introduction, Intro book, More detailed Intro book ... Do you think these are good starting points? Do you have better suggestions?
I am currently a master student working on physics and neural networks. I have already started producing neural network results (I use tensorflow and keras) so I know how to program the basic things that I am required to do, the problem is that I do not understand them well.
I do not have a good solid background when it comes to the neural networks themselves, and as a master student working on his thesis, I can not/I do not want to write my thesis blindly. I want to truly understand the behavior of my program.
Problem is, I can not afford reading a 600 page book on ML! My idea was to read the papers that are mentioned in the tensorflow pages once I use a specific function or class(Example: Here). But as I said, I do not have a solid background to read them properly.
So, my question is, what resources you think I should read first before I delve deeper in these papers? I need the bare minimum so I can accelerate my learning.
Things I have bookmarked so far that I think are useful:: Quick hand on introduction, Intro book, More detailed Intro book ... Do you think these are good starting points? Do you have better suggestions?