|
gptkbp:instanceOf
|
machine learning framework
|
|
gptkbp:category
|
gptkb:artificial_intelligence
gptkb:software
deep learning
|
|
gptkbp:designedFor
|
mobile devices
embedded devices
|
|
gptkbp:developedBy
|
gptkb:Google
|
|
gptkbp:documentation
|
https://www.tensorflow.org/lite/guide
|
|
gptkbp:enables
|
hardware acceleration
on-device machine learning
model inference
model quantization
model optimization
|
|
gptkbp:fileExtension
|
.tflite
|
|
gptkbp:firstReleased
|
2017
|
|
gptkbp:hasComponent
|
gptkb:TensorFlow_Lite_Converter
gptkb:TensorFlow_Lite_Delegate
gptkb:TensorFlow_Lite_Interpreter
gptkb:TensorFlow_Lite_Model_Maker
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
TensorFlow Lite
|
|
gptkbp:latestReleaseVersion
|
2023-08-30
2.14.0
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:openSource
|
true
|
|
gptkbp:partOf
|
gptkb:TensorFlow
|
|
gptkbp:platform
|
gptkb:Android
gptkb:iOS
gptkb:Raspberry_Pi
gptkb:Linux
microcontrollers
|
|
gptkbp:repository
|
https://github.com/tensorflow/tensorflow
|
|
gptkbp:supports
|
gptkb:Hexagon_DSP
gptkb:NNAPI
gptkb:Edge_TPU
GPU acceleration
TensorFlow models
|
|
gptkbp:supportsLanguage
|
gptkb:Java
gptkb:Objective-C
gptkb:Python
gptkb:Swift
gptkb:C++
gptkb:Kotlin
|
|
gptkbp:usedFor
|
natural language processing
speech recognition
recommendation systems
pose estimation
image classification
object detection
|
|
gptkbp:website
|
https://www.tensorflow.org/lite
|
|
gptkbp:bfsParent
|
gptkb:TensorFlow
|
|
gptkbp:bfsLayer
|
5
|