Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:M1_chip
|
| gptkbp:allows |
on-device machine learning
|
| gptkbp:developed_by |
gptkb:Apple_Inc.
|
| gptkbp:enables |
real-time predictions
privacy-focused machine learning |
| gptkbp:facilitates |
text analysis
image classification object detection sound classification |
| https://www.w3.org/2000/01/rdf-schema#label |
Apple's Core ML
|
| gptkbp:integrates_with |
gptkb:Create_ML
Natural Language framework Vision framework |
| gptkbp:is_compatible_with |
gptkb:software_framework
gptkb:Objective-C gptkb:Swift |
| gptkbp:is_designed_for |
gptkb:software
data scientists machine learning engineers |
| gptkbp:is_enhanced_by |
hardware acceleration
Core ML Tools Core ML Model Zoo |
| gptkbp:is_influenced_by |
industry trends
user feedback research in artificial intelligence advancements in deep learning |
| gptkbp:is_optimized_for |
Apple hardware
|
| gptkbp:is_part_of |
gptkb:Apple's_machine_learning_ecosystem
|
| gptkbp:is_recognized_for |
gptkb:benchmark
ease of use developer community support integration with Apple products support for various data types |
| gptkbp:is_supported_by |
gptkb:Apple_Developer_Program
|
| gptkbp:is_used_in |
automotive applications
gaming applications healthcare applications retail applications finance applications i OS apps mac OS apps tv OS apps watch OS apps |
| gptkbp:offers |
pre-trained models
|
| gptkbp:provides |
model conversion tools
model management features API for model deployment |
| gptkbp:released_in |
gptkb:2017
|
| gptkbp:supports |
gptkb:smartphone
gptkb:television_channel gptkb:CEO gptkb:watch custom models Keras models Tensor Flow models Py Torch models |
| gptkbp:uses |
gptkb:microprocessor
|