Difference between revisions of "TensorFlow Lite"
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[http://www.youtube.com/results?search_query=tensorflow+lite+artificial+intelligence+deep+learning Youtube search...] | [http://www.youtube.com/results?search_query=tensorflow+lite+artificial+intelligence+deep+learning Youtube search...] | ||
[http://www.google.com/search?q=tensorflow+lite+machine+learning+ML+artificial+intelligence ...Google search] | [http://www.google.com/search?q=tensorflow+lite+machine+learning+ML+artificial+intelligence ...Google search] | ||
| + | * [[Immersive Reality]] ... [[Metaverse]] ... [[Omniverse]] ... [[Transhumanism]] ... [[Religion]] | ||
| + | * [[Telecommunications]] ... [[Computer Networks]] ... [[Telecommunications#5G|5G]] ... [[Satellite#Satellite Communications|Satellite Communications]] ... [[Quantum Communications]] ... [[Agents#Communication | Communication Agents]] ... [[Smart Cities]] ... [[Digital Twin]] ... [[Internet of Things (IoT)]] | ||
* [[TensorFlow]] | * [[TensorFlow]] | ||
* [[Quantization]] | * [[Quantization]] | ||
* [[Converting to TensorFlow Lite]] | * [[Converting to TensorFlow Lite]] | ||
| − | * [ | + | * [http://blog.tensorflow.org/2022/09/announcing-tensorflow-lite-in-google-play-services-general-availability.html?utm_source=newsletter&utm_medium=email&utm_campaign=TensorFlow2022Q3newsletter&utm_term=tensorflowlite_googleplay&max-results=20 Announcing TensorFlow Lite in Google Play Services General Availability] |
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| + | TensorFlow Lite lets you run TensorFlow machine learning (ML) models in your Android apps. The TensorFlow Lite system provides prebuilt and customizable execution environments for running models on Android quickly and efficiently, including options for hardware acceleration. This runtime allows you to run machine learning (ML) models without statically bundling. TensorFlow Lite libraries into your app. Lite in Google Play services is already used by Google teams, including ML Kit, serving over a billion monthly active users and running more than 100 billion daily inferences. TensorFlow Lite is an inference runtime optimized for mobile devices, and now that it's part of Google Play services, it helps you deliver better ML experiences because it: | ||
| + | * Reduces your app size by up to 5 MB compared to statically bundling TensorFlow Lite with your app | ||
| + | * Uses the same API as available when bundling TF Lite into your app | ||
| + | * Receives regular performance updates in the background so it’s always getting better automatically | ||
| + | |||
| + | Get started by learning how to [http://www.tensorflow.org/lite/android/play_services add TensorFlow Lite in Google Play Services to your Android app]. | ||
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<youtube>kFWKdLOxykE</youtube> | <youtube>kFWKdLOxykE</youtube> | ||
Latest revision as of 20:48, 19 March 2024
Youtube search... ...Google search
- Immersive Reality ... Metaverse ... Omniverse ... Transhumanism ... Religion
- Telecommunications ... Computer Networks ... 5G ... Satellite Communications ... Quantum Communications ... Communication Agents ... Smart Cities ... Digital Twin ... Internet of Things (IoT)
- TensorFlow
- Quantization
- Converting to TensorFlow Lite
- Announcing TensorFlow Lite in Google Play Services General Availability
TensorFlow Lite lets you run TensorFlow machine learning (ML) models in your Android apps. The TensorFlow Lite system provides prebuilt and customizable execution environments for running models on Android quickly and efficiently, including options for hardware acceleration. This runtime allows you to run machine learning (ML) models without statically bundling. TensorFlow Lite libraries into your app. Lite in Google Play services is already used by Google teams, including ML Kit, serving over a billion monthly active users and running more than 100 billion daily inferences. TensorFlow Lite is an inference runtime optimized for mobile devices, and now that it's part of Google Play services, it helps you deliver better ML experiences because it:
- Reduces your app size by up to 5 MB compared to statically bundling TensorFlow Lite with your app
- Uses the same API as available when bundling TF Lite into your app
- Receives regular performance updates in the background so it’s always getting better automatically
Get started by learning how to add TensorFlow Lite in Google Play Services to your Android app.
