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Tensor Network for Machine Learning Applications - Part 2

Offered By: ICTP Condensed Matter and Statistical Physics via YouTube

Tags

Tensor Networks Courses Machine Learning Courses Neural Networks Courses Quantum Computing Courses Dimensionality Reduction Courses Condensed Matter Physics Courses Computational Physics Courses Statistical Physics Courses Quantum Many-body Systems Courses

Course Description

Overview

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Explore advanced concepts in tensor networks and their applications to machine learning in this comprehensive lecture by Edwin Miles Stoudenmire from the Flatiron Institute. Delve into the second part of the series, building upon foundational knowledge to examine more complex tensor network structures and their potential for enhancing machine learning algorithms. Gain insights into cutting-edge research that bridges the gap between condensed matter physics and artificial intelligence, uncovering novel approaches to tackle challenging computational problems in both fields.

Syllabus

Tensor network for machine learning applications 2


Taught by

ICTP Condensed Matter and Statistical Physics

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