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Intro
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Classroom Contents
Tiny but Powerful: Hardware for High Performance, Low Power Machine Learning
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- 1 Intro
- 2 Outline
- 3 Motivation/Background: What is TinyML?
- 4 TinyML Applications
- 5 TinyML Model Architecture and Optimization
- 6 TinyML Hardware Examples
- 7 TinyML Hardware Trends
- 8 Arm Cortex-M55 Core IP
- 9 Green Waves GAP8 Applications Processor
- 10 Low-Power MicroNPU: Arm Ethos-U Family
- 11 In-memory Compute for Tiny ML
- 12 Compute-in-Memory Overview
- 13 Mapping a CNN to an Analog Crossbar
- 14 Mythic IPU
- 15 Closing Thoughts
- 16 Arm: The Software and Hardware Foundation for tinyML
