|
gptkbp:instance_of
|
gptkb:machine_learning
|
|
gptkbp:can_be_used_with
|
gptkb:Java
gptkb:C++
gptkb:Python
gptkb:Swift
|
|
gptkbp:can_transform_into
|
Tensor Flow Models to TF Lite Models
|
|
gptkbp:developed_by
|
gptkb:C++
gptkb:Google
gptkb:Python
gptkb:Java_Script
|
|
gptkbp:has
|
gptkb:Documentation
Sample Applications
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
TF Lite
|
|
gptkbp:is_available_on
|
gptkb:Google_Cloud
gptkb:Git_Hub
|
|
gptkbp:is_compatible_with
|
gptkb:Raspberry_Pi
gptkb:Linux
gptkb:Android
gptkb:i_OS
gptkb:Windows
|
|
gptkbp:is_designed_for
|
Low Latency Inference
|
|
gptkbp:is_open_source
|
gptkb:True
|
|
gptkbp:is_optimized_for
|
gptkb:performance
|
|
gptkbp:is_part_of
|
gptkb:Tensor_Flow_Ecosystem
AI and ML Tools
|
|
gptkbp:is_supported_by
|
gptkb:Tensor_Flow_Lite_Model_Maker
gptkb:Tensor_Flow_Hub
gptkb:Tensor_Flow_Model_Garden
Community Contributions
|
|
gptkbp:is_used_for
|
gptkb:Augmented_Reality
Model Deployment
Inference on Edge
Inference on Mobile
|
|
gptkbp:is_used_in
|
gptkb:Computer_Vision
gptkb:Natural_Language_Processing
gptkb:speeches
Image Classification
Object Detection
Mobile Applications
Io T Applications
|
|
gptkbp:provides
|
Model Optimization
Pre-trained Models
Model Conversion Tools
Interpreter API
On-Device Machine Learning
|
|
gptkbp:runs_through
|
Edge Devices
|
|
gptkbp:suitable_for
|
Real-time Applications
|
|
gptkbp:supports
|
gptkb:mobile_devices
Quantization
Embedded Devices
Custom Operators
Post-training Optimization
|
|
gptkbp:uses
|
Tensor Flow Models
|
|
gptkbp:bfsParent
|
gptkb:Tensor_Flow
|
|
gptkbp:bfsLayer
|
4
|