Introduction to Deep Learning part 1
Channel: Jonathan Laserson
Date: 2016-01-23

Dr. Jonathan Laserson is a senior algorithm researcher at PointGrab and a Machine Learning expert and consultant. He has a PhD from the Computer Science AI lab at Stanford University and was a lecturer at Bar-Ilan University. After 3 years doing Machine Learning at Google today he is focused on Deep Learning algorithms and their practical usage on embedded architectures. You can read his Hebrew blog about Machine Learning in https://lifesimulator.wordpress.com/.

The talk was intended for an audience of engineers at The Generalist Engineer meetup: http://www.meetup.com/The-Generalist-Engineer/  sponsored by Twiggle.com.

Link to part 2: https://www.youtube.com/watch?v=E71SNUqi2cw

References:

The video in the lecture is from Hubel and Wiesel Cat Experiment:
https://www.youtube.com/watch?v=IOHayh06LJ4

Used some figures from Andrej Karpathy's Stanford class lecture notes:
http://cs231n.github.io/neural-networks-1/

Used some of Ilya Sustkever's slides:
http://www.iro.umontreal.ca/~bengioy/cifar/NCAP2014-summerschool/slides/Ilya_LSTMs_for_Translation.pdf

Used some of Andrew Ng's slides:
http://helper.ipam.ucla.edu/publications/gss2012/gss2012_10595.pdf