This sample application demonstrates how to use the NNStreamer single-shot API using Tizen.MachineLearning.Inference.SingleShot.
Based on the given sentences, the text is classified into predefined groups. These predefined groups serve as an input to the pre-trained models to predict whether a paragraph is positive or negative.
This sample application demonstrates how to use machine learning and sensor data using Tizen.MachineLearning.Inference.Pipeline.
It passes accelerometer sensor data stream to a neural network (tensorflow-lite model) and predicts one of four orientations of the device:
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