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Deepwave Digital Tutorials

Deepwave provides a series of tutorials to assist developers in using our products. The tutorials begin with a simple introduction of Receiving Samples using Python and work up to performing full inference on the SDR with the AI Inference on the AIR-T tutorial. The tutorials span various programming languages to perform signal processing, neural network inference, and various other tasks to assist developers in creating their solution. We cover how to use virtual environments, such as Anaconda, on the AIR-T as well as multiple deep learning frameworks including PyTorch, TensorFlow, and MATLAB.

Select the tutorials from the table of contents to the left. Each tutorial will guide developers sequentially though the product features and get progressively more difficult (and interesting!) along the way.

Last update: May 6, 2022