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