Deep learning algorithms are gaining popularity in IoT-edge devices due to their human-level accuracy in many tasks, including image classification and speech recognition. This has increased interest in deploying neural networks on low-power processors found in always-on systems, such as those based on Arm Cortex-M microcontrollers.
Watch this webinar to learn:
- How to run image classification on Arm Cortex-M microcontrollers
- How to use CMSIS-NN’s optimized software kernels to maximize performance and minimize memory footprint