Statements (109)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:allows |
on-device machine learning
on-device inference |
| 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:smartphone
gptkb:television_channel gptkb:CEO gptkb:watch gptkb:software_framework gptkb:Create_ML |
| gptkbp:is_compatible_with |
gptkb:software_framework
gptkb:Objective-C gptkb:Swift |
| gptkbp:is_designed_for |
gptkb:software
|
| 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:smartphone
gptkb:watch gptkb:TV_Show gptkb:i_Pad |
| gptkbp:is_used_by |
gptkb:software
|
| gptkbp:is_used_for |
enterprise applications
automotive applications gaming applications military applications predictive analytics smart home applications sentiment analysis image classification media applications object detection recommendation systems biotechnology applications construction applications pharmaceutical applications research applications financial applications healthcare applications personalization features text classification 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 style transfer 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 model conversion tools user-friendly AP Is |
| 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:updates |
new i OS releases
|
| gptkbp:used_in |
mac OS applications
i OS applications |
| gptkbp:uses |
model conversion tools
Core ML model format |
| gptkbp:bfsParent |
gptkb:smartphone
|
| gptkbp:bfsLayer |
3
|