Peter Zion will present two great papers on deep learning; first, Yann LeCun’s seminal 1998 paper, "Gradiant-Based Learning Applied to Document Recognition (http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf)", which will give some background and context for Krizhevsky, Sutskever, and Hinton's 2012 paper, "ImageNet Classification with Deep Convolutional Neural Networks (http://www.cs.toronto.edu/~fritz/absps/imagenet.pdf)", in which (to quote Peter), "they [...] create a GPU-based DNN that is better at image recognition than any human".
Given the length of the first paper, I recommend reading Krizhevsky's paper in detail, and skimming LeCun's paper as needed for background.
Everyone interested in machine learning, image processing and recognition, or GPU computing should come!
This event is part of Big Data Week (http://mtldata.com/bdw). Be sure to check out the rest of the schedule!
Finally, a huge thanks to the folks at Radialpoint for hosting us again.