Tensor Flow Lite for Microcontrollers
GPTKB entity
Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:can_be_used_with |
gptkb:Raspberry_Pi
|
| gptkbp:developed_by |
gptkb:Job_Search_Engine
Apache License 2.0 |
| gptkbp:enables |
On-device Machine Learning
|
| gptkbp:has |
Low Memory Footprint
|
| https://www.w3.org/2000/01/rdf-schema#label |
Tensor Flow Lite for Microcontrollers
|
| gptkbp:is_available_for |
Multiple Platforms
|
| gptkbp:is_available_on |
gptkb:archive
|
| gptkbp:is_compatible_with |
Various Sensors
Various ID Es Various Microcontroller Architectures |
| gptkbp:is_designed_for |
gptkb:software_framework
|
| gptkbp:is_designed_to |
Run Efficiently on Low-power Devices
Simplify Deployment of ML Models |
| gptkbp:is_documented_in |
Official Tutorials
Tensor Flow Documentation |
| gptkbp:is_integrated_with |
gptkb:Arduino
gptkb:Cloud_Computing_Service |
| gptkbp:is_open_source |
gptkb:theorem
|
| gptkbp:is_optimized_for |
Microcontrollers
Low Latency Battery-powered Devices |
| gptkbp:is_part_of |
gptkb:Tensor_Flow_Ecosystem
AI Development Tools Edge AI Solutions AI at the Edge Machine Learning for Io T |
| gptkbp:is_supported_by |
gptkb:Tensor_Flow_Lite_Community
Community Contributions Online Forums |
| gptkbp:is_tested_for |
Various Hardware Platforms
|
| gptkbp:is_used_for |
gptkb:software
gptkb:studio Anomaly Detection Image Classification Predictive Maintenance Face Recognition Gesture Recognition Sensor Data Processing |
| gptkbp:is_used_in |
gptkb:microprocessor
gptkb:product gptkb:robot gptkb:computer Wearable Devices Healthcare Devices Io T Devices |
| gptkbp:passes_through |
MC Us with limited resources
|
| gptkbp:provides |
Pre-trained Models
Low-latency Inference |
| gptkbp:suitable_for |
Real-time Applications
Low-power Applications |
| gptkbp:supports |
Custom Operators
Tensor Flow Models Quantized Models |
| gptkbp:uses |
gptkb:C++
|
| gptkbp:bfsParent |
gptkb:Tensor_Flow_team
|
| gptkbp:bfsLayer |
5
|