Machine learning model built with "Raspberry Pi 4"

　The Raspberry Pi is a small, capable machine, but training custom models on the platform has been difficult for anyone interested in developing their own embedded machine learning applications. This is because the processing power is limited.

　Edge Impulse, a cloud-based development platform for machine learning on edge devices, announced on April 12 that it will enter the field of embedded Linux and fully and officially support the Raspberry Pi 4. .. As a result, users can upload data, train their own custom machine learning algorithms in the cloud, and deploy them again on the Raspberry Pi.

　A new machine learning software development kit (SDK) for the Raspberry Pi has recently been released. SDKs for four languages ​​are provided: C ++, Go, Node.js, and Python, allowing users to program their own custom applications for inference.

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