Deep Learning 101

Wednesday, February 6
2:50 PM - 3:30 PM
Room 111/112

In this talk, we will give a high-level overview of what is Deep Learning (DL) is and provide a lot of visual examples for an intuitive take-aways from the session – and no worries, no math here!

The session will:
- Illustrate what neural nets are via interactive examples and mini-demos
- Show applications of DL to solve specific real-world problems with State-of-the-Art (SOTA) results
- Demonstrate how latest research in DL can be applied today to areas of vision, language, recommender systems, and tabular data
- Provide pro-tips on how to get started

SPEAKERS

Robert Hryniewicz
AI Evangelist
Hortonworks
Robert is an AI evangelist at Cloudera and has over 12 years of experience working on various projects related to Artificial Intelligence, Robotics, IoT, Enterprise & Embedded Software. His primary focus at Cloudera is building communities around IoT, Big Data and Data Science, and enabling Enterprises to accelerate adoption of cutting edge open-source technologies (from Edge to AI).