Completed
Intro
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Classroom Contents
Bridging Deep Learning and Many-Body Quantum Physics via Tensor Networks
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- 1 Intro
- 2 Machine Learning and Many-Body Physics
- 3 Baseline Architecture - Convolutional Arithmetic Circuit
- 4 Baseline Architecture. Convolutional Arithmetic Circuit
- 5 Baseline Architecture - Recurrent Arithmetic Circuit
- 6 Measures of Entanglement for Deep Learning Archs
- 7 Controlling Dependencies -Layer Widths
- 8 Start-End Entanglement in Recurrent Networks
- 9 Exponential Memory Capacity for Deep Networks
- 10 TN Constructions of Prominent Deep Learning Archs
- 11 Information Re-Use Vs. Loops
- 12 Results - Deep Learning Archs Support High Entanglement
