Deep Learning Recording

Deep learning is a technique for automatically finding hierarchical patterns in large sets of data, and has been used to achieve breakthrough advances in computer vision, machine translation, speech recognition, game playing, robotics, and other applications in recent years. The recent progress and future potential of deep learning has led to immense interest and to its adoption by all large technology companies.

In this workshop, we’ll introduce deep learning and demonstrate how it can be used in the above areas, with a focus on practical applications. We will explain the technological and algorithmic advances that have made it possible, describe the tools you can use to get started, and talk about the challenges to deploying deep learning systems in production.

This workshop was delivered by Dr.Victor Shnayder and Sri Krishnamurthy from QuantUniversity in Chicago in May 2017. Thanks to IBM for hosting this event


Deep Learning Workshop - Session 1

In this session, we will introduce Neural Networks and Deep Neural Networks. We will discuss, through simple examples, we will illustrate key concepts that you need to be aware about Deep Learning.

Deep Learning Workshop - Session 2

Illustration: Example Deep Neural Network in Tensorflow and Keras.

Deep Learning Workshop - Session 3

In this session, we will demonstrate IBM DSX as an environment to build Deep Learning applications.

Deep Learning Workshop - Session 4

In this session, we will illustrate examples in Keras and Tensorflow and discuss Convolutional Neural Networks.

Deep Learning Workshop - Session 5

In this session, we will discuss working with text, RNNs, LSTM and Encoder-Decoder architectures with illustrations.

Deep Learning Workshop - Session 6

In this session, we will discuss tuning parameters, optimization and things to consider when developing Deep Neural Networks.

Deep Learning Workshop - Session 7

In this session, we will discuss Autoencoders and scaling Deep Neural Networks with Apache Spark.

Deep Learning Workshop - Session 8

In this session, we will discuss Reinforcement learning and how Deep Learning is used for RL applications.

Deep Learning Workshop - Session 9

In this final session, we will discuss frontiers in Deep Neural Networks and discuss some of the key innovations that are being worked on in the research arena.

Upcoming Courses

New Offerings for 2017

New York & OnlineJune 8th, 9th

Machine Learning Workshop

QuantUniversity's 2-day Machine Learning Workshop provides the core Data science and machine learning techniques and applications in finance.We will also discuss the role of Big data and Deep Learning

This is a hands-on course with examples in R, Python and Spark

This workshop will be delivered in New York and online by Sri Krishnamurthy

Boston & OnlineJune 19th,20th

Anomaly Detection Workshop

QuantUniversity's 2-day Anomaly Detection Workshop provides the core techniques and best practices in Anomaly Detection and Outlier Analysis with cross-sectional and time series data.

This is a hands-on course with examples in R, Python and Spark

This workshop will be delivered in Boston and Online by Sri Krishnamurthy

Spark Workshop

QuantUniversity's 2-day Anomaly Detection Workshop provides the core statistical and machine learning techniques supported by Apache Spark.

This is a hands-on course with examples in R, Python and Spark

This workshop will be delivered in Boston and Online by Sri Krishnamurthy

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