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I am looking for references (pedagogic and beginner friendly!) to these two topics,

  • hierarchical temporal memory algorithms applied to deep planning problems

  • (multi-layer) neural networks trained via SGD (after some bottom-up pre-learning using autoassociator / RBM algorithms)

Can someone help with a reference (hopefully online!) which can get me started?

It would be best I could find some course-notes.

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    $\begingroup$ Where have you looked? Have you googled and checked the canonical textbooks? $\endgroup$
    – Raphael
    Commented Jul 3, 2014 at 6:33
  • $\begingroup$ @Raphael I am completely new to the subject and hence I have no clue what are the canonical textbooks. I googled around and that led me to Wiki kind of links. I found some MIT-OCW course-notes which seem to be talking of related stuff but thats as far as it looks to a novice! $\endgroup$
    – user6818
    Commented Jul 3, 2014 at 6:39
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    $\begingroup$ Well, then start with that! Taking a MOOC is probably a very good way to get started. Canonical textbooks you can find by checking literature recommendations of introductory courses, just roam college websites! $\endgroup$
    – Raphael
    Commented Jul 3, 2014 at 8:25
  • $\begingroup$ @Raphael Can you link to some introductory courses you might know of which talks of these subjects? $\endgroup$
    – user6818
    Commented Jul 3, 2014 at 8:52

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