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I would like to pick up on the topic of deep learning. Should I begin from the topic of AI before working my way into Deep learning?

logc
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zen
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    Deep Learning is highly related to the theory of neural networks, so it would be good to start learning the basics of artificial neural networks first. See also http://datascience.stackexchange.com/questions/2651/deep-learning-basics – Regenschein Dec 23 '14 at 09:43
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    This is probably too vague to make a good question. Add some detail about what your background is, what specifically about AI you're wondering if you need to know, etc. – Sean Owen Dec 23 '14 at 15:42
  • I am a fresh graduate from a computer science program and have taking classes in algorithm and AI. To my understanding deep learning is a branch under AI, we were taught the basic concept of AI but I was wondering which are should I work on mastering and where should I move on to . – zen Dec 24 '14 at 02:28
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    https://www.coursera.org/course/neuralnets – old-ufo Dec 25 '14 at 10:27
  • @zen I would assume Sean meant for you to edit/expand on the question, not post details as a comment. I think it would be more helpful to future users that way, if they end up here for the first time through an online search. – aeroNotAuto May 23 '15 at 01:54
  • Except of already mentioned great coursera stuff by Geoff Hinton, also this series by Nando de Freitas is worth a look: https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu – Wojciech Walczak May 23 '15 at 10:33

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Start with neural nets. They are the basic building blocks of Deep Learning.

Neural Nets for Newbies video is a well-explained introduction. CS-449 from Willamette University is an free and approachable class in neural networks.

That should lay the foundation for more advanced Deep Learning material. Deep Learning by Bengio, Goodfellow, and Courville is a quality book on the subject.

Brian Spiering
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