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Surprised nobody has posted http://course.fast.ai/ http://course.fast.ai/ yet. I've been following along with it so far for the first 4 lessons and it has been
by lightbyte 9y ago
Surprised nobody has posted http://course.fast.ai/ http://course.fast.ai/ yet. I've been following along with it so far for the first 4 lessons and it has been extremely helpful in understanding how deep learning works from the perspective of someone who did not have much of any related baseline knowledge except how to program. Jeremy is an excellent practical teacher.
- alexcnwy 9y agoSeconded - can't recommend the course highly enough A lot of 'traditional' computer vision methods e.g. Hough detector are simply inferior to deep learning approaches. Plus, it's a lot easier than you'd think to get up and running, especially when you leverage pre-trained models...
- thinkMOAR 9y agoHappy it is interesting for you. I too got this url referred by somebody, and I got excited after their extended intro why, how etc their course different and better then any other. Though after 5 videos i know nothing more then from any other ML/AI guide on the internet then i did before. 99% is only related to image classifying, and i'm simply seeing too many guides for that. If anybody has some good links/videos on ML/AI on structured data, please comment and i'll be thankful and happy to click 'm :)
- goxul 9y agoThe author himself said that DL isn't the best option for structured data. "Certainly I'd pick DL over more linear models for most problems. But I'd pick random forests over DL for most structured data problems." "Deep learning is best for unstructured data, like natural language, images, audio, etc. it sounds like you may be dealing more with structured data, in which case the Coursera ML course would be a better option for you" More discussion here - https://www.reddit.com/r/MachineLearning/comments/5jg7b8/p_deep_learning_for_coders18_hours_of_lessons_for/ https://www.reddit.com/r/MachineLearning/comments/5jg7b8/p_d...
- thinkMOAR 9y agomany thanks! much appreciated, will read it over the weekend.