Statements (111)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:allows |
on-device machine learning
on-device inference |
| gptkbp:can_be_used_for |
sentiment analysis
image classification object detection recommendation systems text classification style transfer |
| gptkbp:can_be_used_with |
gptkb:Objective-C
gptkb:Swift |
| gptkbp:developed_by |
gptkb:Apple_Inc.
|
| gptkbp:enables |
image recognition
text analysis audio analysis real-time predictions privacy-preserving machine learning |
| gptkbp:facilitates |
data privacy
|
| https://www.w3.org/2000/01/rdf-schema#label |
Core ML framework
|
| gptkbp:includes |
Core ML tools
|
| gptkbp:integrates_with |
gptkb:watch_OS
gptkb:Xcode gptkb:Apple_TV gptkb:Create_ML gptkb:i_OS gptkb:mac_OS |
| gptkbp:is_compatible_with |
gptkb:Xcode
gptkb:Objective-C gptkb:Swift |
| gptkbp:is_designed_for |
gptkb:developers
|
| gptkbp:is_designed_to |
simplify machine learning integration
|
| gptkbp:is_documented_in |
Apple Developer Documentation
|
| gptkbp:is_optimized_for |
Apple hardware
|
| gptkbp:is_part_of |
gptkb:Apple's_machine_learning_ecosystem
Apple's AI strategy |
| gptkbp:is_popular_in |
i OS development community
|
| gptkbp:is_supported_by |
gptkb:i_Phone
gptkb:Apple_TV gptkb:Apple_Watch gptkb:i_Pad |
| gptkbp:is_updated_by |
new i OS releases
|
| gptkbp:is_used_by |
gptkb:developers
|
| gptkbp:is_used_for |
enterprise applications
automotive applications gaming applications military applications predictive analytics smart home applications media applications recommendation systems biotechnology applications construction applications pharmaceutical applications research applications financial applications healthcare applications personalization features social media applications e-commerce applications government applications energy applications security applications augmented reality applications environmental applications real estate applications travel applications retail applications telecommunications applications transportation applications education applications entertainment applications logistics applications manufacturing applications non-profit applications advertising applications finance applications food and beverage applications |
| gptkbp:is_used_in |
AR applications
mac OS applications tv OS applications watch OS applications i Pad applications i Phone applications |
| gptkbp:provides |
model evaluation tools
pre-trained models model deployment capabilities model compression techniques user-friendly APIs model conversion tools |
| gptkbp:released_in |
gptkb:2017
|
| gptkbp:supports |
natural language processing
audio analysis machine learning models multi-threading custom layers natural language processing models Keras models Tensor Flow models vision tasks Py Torch models reinforcement learning models custom model formats sound classification models vision models |
| gptkbp:used_in |
mac OS applications
i OS applications |
| gptkbp:uses |
model conversion tools
Core ML model format |
| gptkbp:bfsParent |
gptkb:Ne_XTSTEP
gptkb:mac_OS |
| gptkbp:bfsLayer |
4
|