Session ID: HKG18-312 Session Name: HKG18-312 - CMSIS-NN Speaker: Rod Crawford Track: LEG;Ecosystem Day

Session Summary

Deep learning algorithms are gaining popularity in IoT edge devices, because of their human-level accuracy in many applications, such as image classification and speech recognition. There is an increasing interest in deploying neural networks (NN) on always-on systems such as Arm Cortex-M microcontrollers. In this session, we introduce the challenges of deploying neural networks on microcontrollers with limited memory/compute resources and power budget. We introduce CMSIS-NN, optimized software kernels to enable deployment of neural networks on Cortex-M cores. We further present NN architecture exploration, using keyword spotting application as an example, to develop light-weight models suitable for resource constrained systems. —————————————————

Resources

Event Page: http://connect.linaro.org/resource/hkg18/hkg18-312/ Presentation: http://connect.linaro.org.s3.amazonaws.com/hkg18/presentations/hkg18-312.pdf Video: http://connect.linaro.org.s3.amazonaws.com/hkg18/videos/hkg18-312.mp4 —————————————————

Event Details

hkg18 19-23 March 2018 Regal Airport Hotel Hong Kong


Keyword: LEG;Ecosystem Day ‘http://www.linaro.org’ ‘http://connect.linaro.org’ ————————————————— Follow us on Social Media https://www.facebook.com/LinaroOrg https://www.youtube.com/user/linaroorg?sub_confirmation=1 https://www.linkedin.com/company/1026961

Speakers: Rod Crawford

Speaker Positions: SW Dude