TF Model Optimization Toolkit
GPTKB entity
Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:aims_to |
improve model performance
reduce model size enhance inference speed |
| gptkbp:can_be_used_with |
gptkb:Keras
|
| gptkbp:developed_by |
gptkb:Job_Search_Engine
|
| gptkbp:enables |
faster deployment of models
|
| gptkbp:enhances |
energy efficiency
|
| https://www.w3.org/2000/01/rdf-schema#label |
TF Model Optimization Toolkit
|
| gptkbp:includes |
quantization
pruning clustering |
| gptkbp:is_available_in |
gptkb:C++
gptkb:Library |
| gptkbp:is_available_on |
gptkb:archive
|
| gptkbp:is_compatible_with |
TP Us
CP Us GP Us TF 2.x |
| gptkbp:is_designed_for |
production environments
|
| gptkbp:is_documented_in |
Tensor Flow documentation
|
| gptkbp:is_integrated_with |
gptkb:Tensor_Flow_Lite
gptkb:Tensor_Flow_Serving |
| gptkbp:is_open_source |
gptkb:theorem
|
| gptkbp:is_optimized_for |
deep learning models
|
| gptkbp:is_part_of |
machine learning frameworks
model optimization tools AI research tools AI model lifecycle Tensor Flow ecosystem |
| gptkbp:is_promoted_by |
gptkb:Google_AI
|
| gptkbp:is_supported_by |
gptkb:Tensor_Flow_Lite
gptkb:Tensor_Flow_Serving Tensor Flow community |
| gptkbp:is_used_by |
data scientists
machine learning engineers |
| gptkbp:is_used_for |
model evaluation
transfer learning model deployment improving model accuracy reducing overfitting enhancing model robustness optimizing Tensor Flow models |
| gptkbp:is_used_in |
gptkb:Io_T_devices
gptkb:Cloud_Computing_Service gptkb:mobile_application |
| gptkbp:provides |
model compression techniques
AP Is for model optimization support for mixed precision training guidelines for model optimization tools for evaluating model performance |
| gptkbp:reduces |
latency in inference
|
| gptkbp:released_in |
gptkb:2019
|
| gptkbp:supports |
gptkb:Graphics_Processing_Unit
multiple hardware platforms model quantization for edge devices |
| gptkbp:bfsParent |
gptkb:Tensor_Flow_Core
|
| gptkbp:bfsLayer |
5
|