Machine learning features help you to handle machine learning frameworks, like TensorFlow and TensorFlow-Lite, with the construction of data pipeline.
You can use the following machine learning features in your native applications:
You can create data pipelines that contain the machine learning model filters. The pipeline can be assembled and controlled with various elements of GStreamer.
You can construct, control, and train a machine learning model on-the-fly. The training can be done using the code or with a set of format that describes the model. These models can be trained on the device locally when needed.
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