Abstract: 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 workshop, 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 and Tensorflow.
Bio: Sri is the Chief Data Scientist and CEO of www.quantuniversity.com and Creator of the Analytics Certificate Program (www.analyticscertificate.com). He is analytics specialist with more than 15 years experience in quantitative analysis, engineering, finance and consulting is also the author of the forthcoming book published by Wiley "Financial application development : A case-study approach."Additionally, he serves an adjunct faculty member at Northeastern University, Babson College and Hult International Business School
Chief Scientist & President at QuantUniversity.com