Deep Learning for Developer Crash Course, Part 2

Deep learning is at the center of many exciting application innovations, and, yet, deep learning is also a way you can safely upgrade your existing applications with powerful new capabilities. In this two-part session, Zoiner Tejada does not focus on extremely forward looking innovation with deep learners that will take many years and specialized experts to create - it is not about creating the next self-driving car or champion level video game playing agent. This session IS about the innovations that you, the enterprise developer, can add to your applications today by learning just a few techniques and by having the confidence gained by knowing how such techniques are applied. Most enterprises have challenges with three kinds of data: structured data (think databases and time series), text and images or video. These are all data types for which deep learning has practical uses you can apply today. In this session you will see how to train, evaluate and deploy deep learning models in Azure for each of these three data types, show casing techniques for text analytics/mining, computer vision and forecasting. These are fundamental techniques you will be able to apply to your applications after attending.