Explore the applications of tensor networks in machine learning in this comprehensive lecture by Edwin Miles Stoudenmire from the Flatiron Institute. Delve into advanced concepts and techniques as part of the third installment in a series on tensor networks for machine learning. Gain insights into the latest developments and potential future directions in this rapidly evolving field. Enhance your understanding of how tensor networks can be leveraged to improve machine learning algorithms and solve complex problems in various domains.
Tensor Network for Machine Learning Applications - Lecture 3
ICTP Condensed Matter and Statistical Physics via YouTube
Overview
Syllabus
Tensor network for machine learning applications 3
Taught by
ICTP Condensed Matter and Statistical Physics
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Tensor Network for Machine Learning Applications - Lecture 1
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Tensor Network for Machine Learning Applications - Part 2
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Machine Learning and Deep Learning - Fundamentals and Applications
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Introduction to Machine Learning with ENCOG 3
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Introduction to Machine Learning
3.5 -
Tensor Networks for Machine Learning and Applications
