Slides and GitHub

In this workshop we learn how to model generic sequence data and timeseries data to do sequence prediction, forecasting future timeseries, anomaly detection to name a few. We will use Apache MXNet a scalable deep learning framework to train our neural networks. Once trained we will explore various scalable deployment options on AWS for both real-time and batch inference.

Learn to program in Apache MXNet and Gluon, Knowledgeable in Sequence modeling and dealing with timeseries data.

• set a AWS account before the workshop