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Efficient ML covers the entire stack
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Classroom Contents
Binarized Neural Networks on Microcontrollers
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- 1 Intro
- 2 Why is TinyML not already everywhere
- 3 The road ahead
- 4 Efficient ML covers the entire stack
- 5 Going below 8-bit precision
- 6 Memory reduction for different precisic
- 7 Binarized Convolution
- 8 Training Neural Networks
- 9 Training Binarized Neural Networks
- 10 Open Source BNN Ecosystem
- 11 Larq Compute Engine
- 12 Person Detection / Visual Wake Words
- 13 Person Detection on Cortex-M4
- 14 Model Benchmark on Cortex-M4
- 15 Model Accuracy + Real World Performa
- 16 Unit tests for Deep Learning Applicatio
- 17 Person Detection Networks
- 18 Person Detection using BNNS
- 19 What's next?
- 20 Arm: The Software and Hardware Foundation for tin
- 21 Next tinyML Talks
