Tensor Flow Lite

GPTKB entity

Statements (68)
Predicate Object
gptkbp:instance_of gptkb:machine_learning
gptkbp:built gptkb:Tensor_Flow_Core
gptkbp:developed_by gptkb:Google
gptkbp:enables Real-Time Inference
gptkbp:has Model Converter
https://www.w3.org/2000/01/rdf-schema#label Tensor Flow Lite
gptkbp:is_available_on gptkb:Git_Hub
gptkbp:is_compatible_with gptkb:Tensor_Flow
gptkb:Linux
gptkb:mac_OS
gptkb:Windows
gptkbp:is_designed_for Edge Devices
gptkbp:is_distributed_by Apache License 2.0
gptkbp:is_documented_in Tensor Flow Documentation
gptkbp:is_enhanced_by Hardware Acceleration
gptkbp:is_integrated_with gptkb:Firebase_ML_Kit
gptkbp:is_optimized_for Low Latency
Low Power Consumption
gptkbp:is_part_of gptkb:Tensor_Flow_Ecosystem
AI Development Tools
gptkbp:is_promoted_by gptkb:Google_AI
gptkbp:is_supported_by Community Contributions
Tensor Flow Community
gptkbp:is_tested_for Various Datasets
gptkbp:is_used_by gptkb:developers
gptkbp:is_used_for gptkb:Natural_Language_Processing
gptkb:Federated_Learning
gptkb:stage_adaptation
gptkb:Hyperparameter_Tuning
gptkb:speeches
gptkb:machine_learning
Anomaly Detection
Data Preprocessing
Image Classification
Object Detection
Time Series Analysis
Data Augmentation
Feature Extraction
Model Evaluation
Generative Models
Face Detection
Gesture Recognition
Model Compression
Real-Time Object Tracking
gptkbp:is_used_in gptkb:AI_technology
gptkbp:is_utilized_in gptkb:smartphone
Wearable Devices
Io T Devices
gptkbp:offers Cross-Platform Support
gptkbp:provides gptkb:Inference_Engine
Quantization
Model Optimization
Pre-Trained Models
Delegate APIs
gptkbp:released_in gptkb:2017
gptkbp:supports gptkb:mobile_devices
gptkb:Raspberry_Pi
gptkb:Android
gptkb:i_OS
Embedded Devices
Custom Operators
Tensor Flow Models
gptkbp:used_in On-Device Machine Learning
gptkbp:uses gptkb:Flat_Buffers
gptkbp:written_in gptkb:C++
gptkbp:bfsParent gptkb:Tensor_Flow
gptkb:Google_Brain_team
gptkbp:bfsLayer 4