|
gptkbp:instance_of
|
gptkb:machine_learning
|
|
gptkbp:allows
|
On-device Machine Learning
|
|
gptkbp:can_transform_into
|
Tensor Flow Models to TFLite Format
|
|
gptkbp:developed_by
|
gptkb:Google
|
|
gptkbp:has
|
gptkb:Community_Support
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
TFLite
|
|
gptkbp:includes
|
Pre-trained Models
|
|
gptkbp:is_available_on
|
gptkb:Git_Hub
|
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow_Lite_Micro
Various Hardware Accelerators
|
|
gptkbp:is_documented_in
|
Tensor Flow Documentation
|
|
gptkbp:is_integrated_with
|
gptkb:Kotlin
gptkb:Flutter
gptkb:Swift
|
|
gptkbp:is_open_source
|
gptkb:True
|
|
gptkbp:is_optimized_for
|
Low Latency
Low Power Consumption
Neural Network Models
|
|
gptkbp:is_part_of
|
gptkb:Tensor_Flow_Ecosystem
|
|
gptkbp:is_supported_by
|
Tensor Flow Community
|
|
gptkbp:is_updated_by
|
gptkb:True
|
|
gptkbp:is_used_for
|
gptkb:Natural_Language_Processing
gptkb:speeches
Image Classification
Object Detection
Pose Estimation
|
|
gptkbp:is_used_in
|
gptkb:Autonomous_Vehicles
gptkb:smartphone
gptkb:robotics
gptkb:smart_home_devices
Wearable Devices
Gaming Applications
Healthcare Applications
Augmented Reality Applications
Virtual Reality Applications
Retail Applications
Io T Devices
|
|
gptkbp:provides
|
gptkb:Inference_Engine
Cross-platform Support
Model Optimization Tools
|
|
gptkbp:runs_through
|
On-device Inference
|
|
gptkbp:supports
|
gptkb:Raspberry_Pi
gptkb:Android
gptkb:i_OS
Quantization
Model Pruning
Tensor Flow Models
Post-training Quantization
|
|
gptkbp:used_for
|
Mobile and Edge Devices
|
|
gptkbp:bfsParent
|
gptkb:Py_Torch
|
|
gptkbp:bfsLayer
|
4
|