Statements (46)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
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 |
| gptkbp:developedBy |
gptkb:Google
|
| gptkbp:documentation |
https://www.tensorflow.org/lite
|
| gptkbp:downloads |
gptkb:TensorFlow_Hub
TensorFlow Lite Model Zoo |
| gptkbp:fileExtension |
.tflite
|
| gptkbp:firstReleased |
2017
|
| https://www.w3.org/2000/01/rdf-schema#label |
TensorFlow Lite models
|
| 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 microcontrollers pruning quantization delegates 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
|
| gptkbp:bfsLayer |
7
|