Machine learning in minutes
Central to edge-ml is our
- with a few simple steps edge-ml lets you record data, label samples, train models and deploy validated embedded machine learning directly on the edge.
2 Recorder *rec = new Recorder("https://app.edge-ml.org", "API_KEY");
3 edgeRecorder = rec->getIncrementalRecorder("DATASET_NAME");
7 value = sensor.read();
8 edgeRecorder->addDataPoint("SENSOR_NAME", value);
Simple data upload
edge-ml requires minimal initilization and supports upload in real-time as well as in bulk from the edge. Pre-recorded data can be simply drag-and-dropped as CSV files to the edge-ml cloud storage.
Find the best neural architecture
edge-ml AUTO performs neural architecture search to find the best neural network for your use case. The feature is currently only available to alpha users. Please reach out if you are interested.
*evaluated on the UCI-HAR
dataset on Nicla Sense ME (nRF52832, Cortex-M4).