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Slight side topic: Has anyone gone through the new deeplearning.ai track on Coursera yet? Wondering how difficult it is for someone that can write code, but nev
by ryanSrich 9y ago
Slight side topic: Has anyone gone through the new deeplearning.ai track on Coursera yet? Wondering how difficult it is for someone that can write code, but never had any formal academic training in CS.
- kovek 9y agoHey Ryan, I see this question asked very often in the last year or two. I am not an expert on deep learning, nor have I taken the deeplearning.ai track, but am currently learning about the topic. Some of the resources out there have nice primers. I think you need to be somewhat comfortable with understanding the usual log/exp functions for the very base, understand calculus, with partial derivatives, and be used to linear algebra and matrix operations. Some good understanding of statistics could be useful as well when learning about ML. I don't think that a good background in CS is necessary for this stuff. This has not much to do with programming languages, operating systems, Turing completeness. Maybe having a good base in algorithms could be useful for _implementing_ the libraries to make sure they are optimal. I was wondering why do people ask this question (or ask about resources on learning about this topic in general), when answers on this are so easily findable online.
- quest88 9y agoI'm on course two after completing the assignments in course one. If you can write code, you can do the course. So far there's nothing where a cs degree is needed. It's mainly array manipulation for now. The coding exercises are setup very nicely for you with a lot of code comments and hints. A lot of the time, if not all the time, you're simply completing the right hand side of an assignment.