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TensorFlow Lite の用途
R2026aTFLite ライブラリを使用して推論を実行する深層学習ネットワークのコードの生成
TFLite ライブラリを使用して推論を実行するコードを生成し、組み込みターゲットに展開します。
注目の例
Generate Code for TensorFlow Lite (TFLite) Model and Deploy on Raspberry Pi
Generate code that uses a TensorFlow™ Lite model for inference.
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.
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.
Deploy Pose Estimation Application Using TensorFlow Lite Model (TFLite) Model on Host and Raspberry Pi
Simulate and generate code for a human pose estimation TFLite model.
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.
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.
