Deep Machine Learning Architecture and Big Data

A session at Big Data TechCon Chicago 2015

  • Siamak Amirghodsi

In this 150 minute tutorial session, we cover the fundamentals of deep learning by providing background, architecture, walkthrough and sample use cases with real life applications in vision, text, speech and finance. The emphasis will be on Big Data deep learning that has proven to have better outcome than adding complexity to individual algorithms. The audience will walk away with solid understanding of deep learning architecture, techniques and its application to multiple disciplines. We will also provide a good sampling of open-source libraries including Apache Singa (incubator project) available for software development in Java, Scala, C++ and Python. The session also provides an in-depth look at one of the better known deep learning libraries in Python with a walkthrough of its API and code.

Level: Advanced

Tracks: Analysis

About the speaker

This person is speaking at this event.
Siamak Amirghodsi

Siamak Amirghodsi (Sammy) is a world-class senior technology leader with an entrepreneurial track record.

Sign in to add slides, notes or videos to this session

Tell your friends!


Date Mon 2nd November 2015

Short URL


Official event site


View the schedule


See something wrong?

Report an issue with this session