How to use AI features: Difference between revisions

Latest revision as of 09:22, 3 July 2024↑

	How to measure the performance of NBG-based models
	How to measure performance of your NN models using TensorFlow Lite runtime
	How to measure performance of your models using ONNX Runtime How to convert a Tensorflow™ Lite model to ONNX using tf2onnx
	How to compile model and run inference on Coral Edge TPU How to measure performance of your NN models using the Coral Edge TPU How to run Coral Edge TPU inference using Python TensorFlow Lite API How to build an example using libcoral API How to reproduce an example using PyCoral API

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+|style="width=75%; border-width: 1px; border-style: solid; border-color: #f3f6f4" |
+* [[How to measure the performance of NBG-based models| How to measure the performance of NBG-based models]]
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 |style="width=25%;  border-width: 1px; border-style: solid; border-color: #f3f6f4" | [[File:X-LINUX-AI_TFLite.png|link=|200px|center]]
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 * [[How to build an example using libcoral API]]
 * [[How to reproduce an example using PyCoral API]]
-|- style="height: 100px; vertical-align:middle;"
-|style="width=25%;  border-width: 1px; border-style: solid; border-color: #f3f6f4" | [[File:X-LINUX-AI_Machine_code.png|link=|185px|center]]
-|style="width=75%; border-width: 1px; border-style: solid; border-color: #f3f6f4" |
-* [[How to measure the performance of NBG-based models| How to measure the performance of NBG-based models]]
 |}