Learning blocks

After extracting meaningful features from the raw signal using signal processing, you can now train your model using a learning block. We provide a number of pre-defined learning blocks:

• Classification (Keras).

• Regression (Keras).

• Anomaly Detection (K-means).

• Image Classification (using Transfer Learning).

• Keyword Spotting (using Transfer Learning).

• Object Detection (using MobileNetV2 SSD FPN).

• Object Detection (using FOMO).

Miss an architecture? You can create a custom learning block, with PyTorch, Keras or scikit-learn.

For most of the learning blocks (except K-means Anomaly Detection), you can use the Switch to expert mode button to access the full Keras API for custom architectures, rebalancing your weights, and more.