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Classroom Contents
Machine Learning for Computing Tensor Rank
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- 1 Introduction
- 2 Machine learning has revolutionized many fields
- 3 Can we use machine learning to find new algorithms
- 4 What are the challenges of machine learning
- 5 Outline
- 6 Matrix multiplication tensor
- 7 Matrix multiplication algorithm
- 8 Improving asymptotic complexity
- 9 Math problem
- 10 Model
- 11 Challenges
- 12 Action Space
- 13 Alpha Zero
- 14 Training
- 15 Synthetic data
- 16 Tensor rank
- 17 architecture
- 18 attention
- 19 machine learning architecture
- 20 overall system
- 21 results
- 22 example
- 23 open source
- 24 bilinear algorithm
- 25 rewards function
- 26 performance improvements
- 27 limitations
- 28 applications
- 29 why
- 30 possible
- 31 inference TPU
- 32 Algorithmic Discovery
