TensorFlow Lite Applications

Generate code for deep learning networks that perform inference using TFLite library

Generate code that performs inference using TFLite library and deploy on embedded targets.

Featured Examples

Generate Code for TensorFlow Lite (TFLite) Model and Deploy on Raspberry Pi

Generate Code for TensorFlow Lite (TFLite) Model and Deploy on Raspberry Pi

Generate code that uses a TensorFlow Lite model for inference.

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Deploy Classification Application Using Mobilenet-V3 TensorFlow Lite Model on Host and Raspberry Pi

Deploy Classification Application Using Mobilenet-V3 TensorFlow Lite Model on Host and Raspberry Pi

Generate code for a classification segmentation application that uses Tensorflow Lite model.

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Deploy Semantic Segmentation Application Using TensorFlow Lite Model on Host and Raspberry Pi

Deploy Semantic Segmentation Application Using TensorFlow Lite Model on Host and Raspberry Pi

Generate code for an image segmentation application that uses Tensorflow Lite model.

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Deploy Pose Estimation Application Using TensorFlow Lite Model (TFLite) Model on Host and Raspberry Pi

Deploy Pose Estimation Application Using TensorFlow Lite Model (TFLite) Model on Host and Raspberry Pi

Simulation and code generation of a TensorFlow Lite model for 2D human pose estimation.

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Deploy Super Resolution Application That Uses TensorFlow Lite (TFLite) Model on Host and Raspberry Pi

Deploy Super Resolution Application That Uses TensorFlow Lite (TFLite) Model on Host and Raspberry Pi

Generate code for a super resolution application that uses a TFLite model for inference.

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Audio Event Classification Using TensorFlow Lite on Raspberry Pi

Audio Event Classification Using TensorFlow Lite on Raspberry Pi

Perform audio event classification on Raspberry Pi using the YAMNet pretrained deep neural network from the TensorFlow Lite library.

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