tinyML Talks Chao Xu: Enabling Neural network at the low power edge: A neural network compiler...

tinyML Talks webcast - recorded November 24, 2020
"Enabling Neural network at the low power edge: A neural network compiler for hardware constrained embedded system"
Chao Xu - Eta Compute

Neural Networks continue to gain interests for deployment in IoT and other mobile and edge devices. Yet enabling a NN in a hardware constrained embedded system such as low power edge devices presents many challenges. In this presentation we will show how Eta Compute took an integrated approach to minimize the barrier to design neural network for ultra-low power operation, with an example for embedded vision application:
* Neural network design and optimization for the embedded world: memory, compute power and accuracy
* Hardware and software co-optimization to improve the energy efficiency
* Automatic inference code generation based on the model graph by a proprietary hardware-aware compiler tool
The audience will gain an understanding of the integrated approach.

Видео tinyML Talks Chao Xu: Enabling Neural network at the low power edge: A neural network compiler... канала The tinyML Foundation