Introduction to Deep Learning
Neural networks, born in the 40s, revived in the 80s, and neglected in the 90s, are
now making their second Artificial Intelligence comeback, and this time they are
Coined by the much cooler name Deep Learning, these algorithms are
beating classical Machine Learning algorithms by a significant margin in scores of
AI challenges. All the while, Deep Learning theoreticians are lagging behind, still
having no clue how come it works so well.
And the best thing still – these algorithms are pretty simple to understand, and the software infrastructure available to run them at scale is outstanding and supported by a huge developers community.
In this talk I will give an introductory talk about Deep Learning and how to get started with it.
Dr. Jonathan Laserson
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.