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TensorFlow Mobile vs. TF Lite and More! #AskTensorFlow
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In the first episode of our new series #AskTensorFlow, Developer Advocates Laurence Moroney & Magnus Hyttsten from Google’s TensorFlow team get together to answer questions that come directly from TensorFlow users. Find out how to manage your debug messages, why we prefer using Python for TensorFlow, the difference between TF Mobile & TF Lite, and much more! Check out all the helpful resources below & use #AskTensorFlow on social media if you want your question featured on a future episode!
TensorFlow Mobile vs. TF Lite and More! #AskTensorFlow
Easily deploy TF Lite models to the web | Demo
TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20)
TensorFlow Lite: Solution for running ML on-device (TF World '19)
Introducing TensorFlow Lite (Coding TensorFlow)
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TensorFlow Lite for Android (Coding TensorFlow)
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Tensorflow Lite Android Demo
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On-device object detection: Train and deploy a custom TensorFlow Lite model
TensorFlow Lite for mobile developers (Google I/O '18)
Roman Just Codes - On-Device ML in Flutter w/ Tensorflow Lite
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