Introduction to Deep Learning for Recommendation Systems

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In this session, we'll dive into recommendation systems powered with deep learning. We will understand the challenge and opportunity with online recommendations, and explore practical deep learning techniques for building recommendation systems. We will go over a hands on example of creating and training a recommendation model using PyTorch, and explore the model's performance and further optimizations.
Attendees will learn how to apply deep learning to the problem of recommendations and ranking, and how they can leverage PyTorch to rapidly implement recommendation systems for various business use cases.

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