Deep Learning tutorial

Interest in Deep Learning has been growing in the past few years. With advances in software and hardware technologies, Neural Networks are making a resurgence. With interest in AI based applications growing, and companies like IBM, Google, Microsoft, NVidia investing heavily in computing and software applications, it is time to understand Deep Learning better!

In this lecture, we will discuss the basics of Neural Networks and discuss how Deep Learning Neural networks are different from conventional Neural Network architectures. We will review a bit of mathematics that goes into building neural networks and understand the role of GPUs in Deep Learning. We will also get an introduction to Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks and understand the state-of-the-art in hardware and software architectures. Functional Demos will be presented in Keras, a popular Python package with a backend in Theano. This will be a preview of the QuantUniversity Deep Learning Workshop that will be offered in 2017.

Agenda:

6.00-6.30 - Refreshments and Networking

6.30-7.30 - Deep Learning 101 : Tutorial and Demo

With the Holiday season around, we will have some holiday treats! Hope to see you there!

Attendance to this lecture is FREE!

In the spirit of the holiday season, donations are accepted. Any amount collected by the QuantUniversity meetup using Meetup Chip in (https://www.meetup.com/help/customer/portal/articles/1535778-collect-contributions-from-your-members/) this year shall be donated to Pine Street Inn (http://www.pinestreetinn.org/), a homeless shelter in Boston. You could also donate directly to Pine Street Inn if you choose to do so.