Tensor Network for Machine Learning Applications - Lecture 3
Offered By: ICTP Condensed Matter and Statistical Physics via YouTube
Course Description
Overview
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.
Syllabus
Tensor network for machine learning applications 3
Taught by
ICTP Condensed Matter and Statistical Physics
Related Courses
Topology in Condensed Matter: Tying Quantum KnotsDelft University of Technology via edX Atomic and Optical Physics Iā Part 3: Atom-Light Interactions 1 -- Matrix elements and quantized field
Massachusetts Institute of Technology via edX Atomic and Optical Physics I ā Part 5: Coherence
Massachusetts Institute of Technology via edX Atomic and Optical Physics: Quantum States and Dynamics of Photons
Massachusetts Institute of Technology via edX Atomic and Optical Physics: Atom-photon interactions
Massachusetts Institute of Technology via edX