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 Krishnamurthy is the founder of QuantUniversity.com, a data and quantitative analysis company and the creator of the Analytics Certificate program (www.analyticscertificate.com). He has more than 15 years experience in analytics, quantitative analysis, statistical modeling and software development and has worked at Citigroup, Endeca, Mathworks and with more than 50 customers in the financial services and energy industries.He has trained more than 1000 students in quantitative methods, analytics and big data in the industry and at Babson College,Northeastern University and Hult International Business school.
