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 Speaker: Robert Hryniewicz, AI Evangelist, Hortonworks