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.
QuantUniversity's Deep Learning Workshop provides the foundation to understand the core techniques in Deep Learning.
This is a hands-on course with examples in Python, Keras, TensorFlow and SparkThis workshop will be delivered in Chicago and Online by Dr.Victor Shnayder and Sri Krishnamurthy
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 LearningThis 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
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