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gptkbp:instanceOf
|
machine learning framework
|
|
gptkbp:announced
|
gptkb:WWDC_2017
|
|
gptkbp:canImport
|
gptkb:TensorFlow
gptkb:XGBoost
gptkb:Keras
gptkb:Caffe
gptkb:scikit-learn
gptkb:LibSVM
gptkb:ONNX
|
|
gptkbp:coremltoolsLanguage
|
gptkb:Python
|
|
gptkbp:coremltoolsPurpose
|
model validation
model conversion
model quantization
|
|
gptkbp:developedBy
|
gptkb:Apple_Inc.
|
|
gptkbp:firstReleased
|
2017
|
|
gptkbp:format
|
.mlmodel
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Core ML
|
|
gptkbp:integratesWith
|
gptkb:Siri
gptkb:Create_ML
gptkb:Natural_Language_framework
gptkb:Vision_framework
|
|
gptkbp:latestReleaseVersion
|
6.0
June 2023
|
|
gptkbp:license
|
proprietary
|
|
gptkbp:platform
|
gptkb:iOS
gptkb:macOS
gptkb:tvOS
gptkb:watchOS
|
|
gptkbp:programmingLanguage
|
gptkb:Objective-C
gptkb:Swift
|
|
gptkbp:supports
|
neural networks
support vector machines
model conversion
on-device machine learning
tree ensembles
model quantization
custom layers
pipeline models
|
|
gptkbp:usedBy
|
iOS app developers
macOS app developers
|
|
gptkbp:usedFor
|
natural language processing
image recognition
recommendation systems
object detection
sound analysis
tabular data analysis
activity classification
|
|
gptkbp:uses
|
gptkb:coremltools
|
|
gptkbp:website
|
https://developer.apple.com/documentation/coreml
|
|
gptkbp:bfsParent
|
gptkb:ONNX
|
|
gptkbp:bfsLayer
|
5
|