Deep Learning 101

DevconTLV March 2016 Conference, Tuesday, March 22, 2016, 16:10

Deep Learning methods have become vastly popular in recent years and seem to beat the state of the art in almost every image classification benchmark. The purpose of this talk is to give a "how-to" introductory talk to deep learning. A short theoretical overview will be given following a technical deep dive on how to train deep networks with a few demos, practical examples and tips.

Gil Levi

Gil Levi

Deep Learning Algorithms Researcher

Adience

Gil Levi's Website

I'm an Msc graduate in Computer Vision with 8 years of experience in software and algorithms engineering, particularly in Computer Vision and Machine Learning. Recently published two papers on image classification using Deep Learning methods and currently a deep learning researcher at Adience.

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