Stanford CS330: Deep Multi-Task and Meta Learning

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Overview

Stanford CS330: Deep Multi-Task and Meta Learning

Embark on an 18-hour educational journey with Stanford University’s comprehensive course that delves into the forefront of multi-task and meta-learning within the sphere of artificial intelligence. This course begins with an introduction and broad overview, leading you through core concepts, optimization-based techniques, non-parametric meta-learners, and Bayesian methodologies.

Benefit from in-depth insights into reinforcement learning, highlighting model-based methods, and delve into strategies for lifelong learning. Enhance your understanding with guest lectures delivered by distinguished experts from UC Berkeley and Uber AI Labs, providing a wealth of diverse perspectives.

The course concludes with an exploration of current frontiers and open challenges in the field. Students also engage in literature reviews to enrich their grasp of the latest research trends.

University: Stanford University

Provider: YouTube

Categories: Deep Learning Courses

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