Tensor Flow Lite Micro

GPTKB entity

Statements (62)
Predicate Object
gptkbp:instance_of gptkb:machine_learning
gptkbp:api Microcontroller development
gptkbp:can_be_used_for Real-time inference
gptkbp:deployment AI models on-device
gptkbp:designed_for Microcontrollers
gptkbp:developed_by gptkb:Google
gptkbp:enables On-device machine learning
gptkbp:has_features Model quantization
https://www.w3.org/2000/01/rdf-schema#label Tensor Flow Lite Micro
gptkbp:is_available_on gptkb:Git_Hub
gptkbp:is_compatible_with gptkb:Raspberry_Pi
Various sensors
gptkbp:is_designed_to Reduce memory usage
Run without an operating system
gptkbp:is_documented_in Tensor Flow documentation
gptkbp:is_focused_on Performance optimization
gptkbp:is_integrated_with gptkb:Arduino
Cloud services
gptkbp:is_open_source gptkb:True
gptkbp:is_optimized_for Edge devices
Low-power consumption
gptkbp:is_part_of gptkb:Tensor_Flow_Lite
AI at the edge
Tensor Flow ecosystem
Embedded machine learning solutions
gptkbp:is_supported_by Community contributions
gptkbp:is_tested_for Various hardware platforms
gptkbp:is_used_for Speech recognition
Anomaly detection
Image classification
Gesture recognition
Sensor data processing
gptkbp:is_used_in gptkb:Telecommunications
gptkb:Agriculture
gptkb:drones
gptkb:smart_home_devices
Environmental monitoring
Autonomous vehicles
Industrial automation
Smart cities
Security systems
Wearable devices
Transportation systems
Energy management systems
Smart grids
Logistics and supply chain management
Healthcare devices
Smart appliances
Retail technology
Wearable health monitors
Gaming devices
gptkbp:is_utilized_in Robotics applications
gptkbp:language_support C and C++
gptkbp:provides Low-latency inference
gptkbp:runs_through Embedded systems
gptkbp:suitable_for Io T applications
gptkbp:supports Tensor Flow models
Various neural network architectures
gptkbp:uses gptkb:Flat_Buffers
gptkbp:written_in gptkb:C++
gptkbp:bfsParent gptkb:TFLite
gptkbp:bfsLayer 5