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.