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gptkbp:instanceOf
|
gptkb:machine_learning_model_format
|
|
gptkbp:canBe
|
natural language processing
speech recognition
recommendation systems
pose estimation
image classification
segmentation
object detection
|
|
gptkbp:canBeConvertedFrom
|
TensorFlow models
|
|
gptkbp:canBeDeployedOn
|
gptkb:TensorFlow_Lite_Interpreter
|
|
gptkbp:canBeTrainedWith
|
TensorFlow Lite Model Personalization
TensorFlow Model Maker
|
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gptkbp:developedBy
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gptkb:Google
|
|
gptkbp:documentation
|
https://www.tensorflow.org/lite
|
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gptkbp:downloads
|
gptkb:TensorFlow_Hub
TensorFlow Lite Model Zoo
|
|
gptkbp:fileExtension
|
.tflite
|
|
gptkbp:firstReleased
|
2017
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:optimizedFor
|
small binary size
low-latency inference
|
|
gptkbp:partOf
|
TensorFlow ecosystem
|
|
gptkbp:supports
|
gptkb:Android
gptkb:REST_API
gptkb:iOS
gptkb:Linux
gptkb:NNAPI
gptkb:Objective-C_API
gptkb:Swift_API
gptkb:Core_ML
gptkb:Edge_TPU
gptkb:delegates
microcontrollers
pruning
quantization
GPU acceleration
C++ API
Python API
custom operators
|
|
gptkbp:usedFor
|
on-device machine learning
|
|
gptkbp:usedIn
|
IoT devices
mobile devices
embedded devices
|
|
gptkbp:bfsParent
|
gptkb:TensorFlow_Lite_Micro
gptkb:Edge_TPU_API
|
|
gptkbp:bfsLayer
|
8
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
TensorFlow Lite models
|