The Fundamentals of Deep Learning, with Applications

We will close the door after the first 110 people arrive due to the limitation of the space. Sorry for the inconvenience.

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Co-host with NYC Data Science Academy (http://nycdatascience.com/).

Thank you to Work Market for sponsoring!

Join us for pizza, beer and deep learning algorithms! During this talk, Jon Krohn will talk about deep learning fundamentals with its applications.

About Talk:

Deep Learning algorithms have become influential across a broad range of the statistical domain, including classification, prediction, and feature generation. Recently popularized by a standout performance in the 2012 iteration of the ImageNet visual recognition competition, Deep Neural Networks have since facilitated countless everyday applications, including Tesla's Autopilot, Siri's voice recognition, and Google Inbox's suggested replies. Via analogy to biological neurons and human vision, this talk is an introduction to artificial neural networks that incorporates interactive demos and example code from popular open-source Deep Learning libraries.

6:00-6:30 pm - Food & Mingling

6:30-7:30 pm - Jon Talk

7:30-8:00 pm - Q&A & Mingling

About Speaker:

http://photos1.meetupstatic.com/photos/event/e/0/4/7/600_458217415.jpeg

Jon Krohn is the Chief Data Scientist at untapt, a machine learning-driven recruitment start-up based in New York. Previously, he deployed algorithms to automate predictions in the fields of brain imaging, genomics, finance, and digital advertising. Jon obtained his Doctorate in Neuroscience at Oxford University as a Wellcome Trust Scholar and has published in high-impact journals like Neurology, Nature Genetics, and Neural Information Processing Systems (NIPS). Every third week, he hosts a Deep Learning Study Group at untapt's Midtown HQ.