|
gptkbp:instanceOf
|
gptkb:machine_learning_framework
|
|
gptkbp:canRunOnDevice
|
gptkb:microprocessor
|
|
gptkbp:designedFor
|
mobile devices
embedded devices
|
|
gptkbp:developedBy
|
gptkb:Google
|
|
gptkbp:firstReleased
|
2017
|
|
gptkbp:fullName
|
gptkb:TensorFlow_Lite
|
|
gptkbp:hasConverter
|
gptkb:TensorFlow_Lite_Converter
|
|
gptkbp:hasInterpreter
|
gptkb:TensorFlow_Lite_Interpreter
|
|
gptkbp:hasModel
|
natural language processing
speech recognition
pose estimation
image classification
object detection
|
|
gptkbp:hasModelZoo
|
TensorFlow Lite Model Zoo
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:notableProject
|
TFLite Micro
TFLite Model Maker
TFLite Support Library
|
|
gptkbp:openSource
|
true
|
|
gptkbp:partOf
|
TensorFlow ecosystem
|
|
gptkbp:platform
|
gptkb:Android
gptkb:iOS
gptkb:Raspberry_Pi
gptkb:Linux
|
|
gptkbp:supportsAccelerator
|
gptkb:graphics_card
gptkb:Hexagon_DSP
gptkb:NNAPI
gptkb:Edge_TPU
|
|
gptkbp:supportsEdgeTPU
|
true
|
|
gptkbp:supportsFormat
|
.tflite
|
|
gptkbp:supportsLanguage
|
gptkb:Java
gptkb:Objective-C
gptkb:Python
gptkb:Swift
gptkb:C++
|
|
gptkbp:supportsQuantization
|
true
|
|
gptkbp:usedFor
|
on-device machine learning inference
|
|
gptkbp:website
|
https://www.tensorflow.org/lite
|
|
gptkbp:bfsParent
|
gptkb:Apache_TVM
|
|
gptkbp:bfsLayer
|
7
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
TFLite
|