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I have been studying neural networks and I recently found out about deep learning and convolutional neural networks. Can someone give me a newbie introduction to convolutional neural networks, what is the intuition behind them, little bit about the theory (+ possible good references for details and pseudo-code). I do understand how convolution-operation is defined, but can't connect it into neural networks. I'm also just beginning with deep learning methods, so I don't have any experience with that.

Question shortly put: Could someone give an introduction to convolutional neural networks? I would appreciate to have answers to questions:

  1. What?

  2. Why?

  3. How?

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    $\begingroup$ I think the question is too broad. Also, Murphy's and Bishop's book have good and gentle introductions. $\endgroup$
    – bayerj
    Sep 25, 2014 at 12:43
  • $\begingroup$ Hi @bayerj could you give the name of the books? =) thank you for your help, okay, even a small introduction is enough :) $\endgroup$
    – jjepsuomi
    Sep 25, 2014 at 12:48
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    $\begingroup$ Chris Bishop "Pattern recognition and machine learning". Kevin Murphy "Machine learning: a probabilistic perspective". $\endgroup$
    – bayerj
    Sep 26, 2014 at 10:43
  • $\begingroup$ If you understand how a fully-connected layer works, you might find my drawings to be useful. $\endgroup$
    – Dave
    Jan 3 at 21:45

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Here is an oft-cited course on Computer Vision (CV) to get you started. There are a few more for when you get more advanced (also includes general ML courses).

I find video can be much more engaging, but of course the tradeoff is that if you're on the internet it's easier to get distracted.

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