In this workshop, we will discuss both theoretical concepts on deep learning, and hand-on code lab.
(I) Technical talk on deep learning core concepts like loss functions, dropout rate, batch size, learning rate, and etc...
(II) Walkthrough a hands on code lab where we will cover how to develop, deploy, tune your custom neural nets.
(III) Build and deploy deep learning models for forecasting and recommendations
Agenda (US pacific time):
[10:00 - 10:10am] Welcome and workshop overview
[10:10 - 10:45am] Overview on deep learning core concepts
[10:45 - 11:45am] Hands on code lab
[11:45 - 12:00pm] Q&A and wrap up
Research Scientist at Abacus.AI. He has publications in top machine learning conferences such as NeurIPS, COLT, and AISTATS. Colin received his Ph.D. in computer science from Carnegie Mellon University.
CEO and Co-Founder of Abacus.AI. she was the General Manager for AI Verticals at AWS, AI. Her organization created and launched Amazon Personalize and Amazon Forecast, the first of their kind AI services that enable organizations to create custom deep-learning models easily. Prior to that, she was the CEO and co-founder of Post Intelligence that was acquired by Uber. Bindu was previously at Google