|
gptkbp:instance_of
|
gptkb:machine_learning
|
|
gptkbp:community_support
|
Open source community
|
|
gptkbp:designed_for
|
End-to-end ML workflows
|
|
gptkbp:developed_by
|
gptkb:Google
|
|
gptkbp:enables
|
Scalability
Monitoring
Reproducibility
|
|
gptkbp:has
|
Modular architecture
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Tensor Flow Extended (TFX)
|
|
gptkbp:includes
|
gptkb:Pusher
gptkb:Transform
gptkb:training
gptkb:JSON_format
Tuner
|
|
gptkbp:is_available_on
|
gptkb:Py_PI
gptkb:Git_Hub
|
|
gptkbp:is_compatible_with
|
gptkb:TF_Lite
gptkb:TF.js
TF Serving
|
|
gptkbp:is_designed_for
|
Production environments
|
|
gptkbp:is_documented_in
|
Tensor Flow documentation
|
|
gptkbp:is_integrated_with
|
Tensor Flow Extended components
|
|
gptkbp:is_optimized_for
|
Large-scale ML projects
|
|
gptkbp:is_part_of
|
gptkb:Google_Cloud_AI_Platform
ML workflow automation
|
|
gptkbp:is_supported_by
|
Google Cloud services
|
|
gptkbp:is_used_by
|
gptkb:researchers
Data scientists
Machine learning engineers
|
|
gptkbp:is_used_in
|
Real-world applications
|
|
gptkbp:part_of
|
Tensor Flow ecosystem
|
|
gptkbp:provides
|
Data validation
Model validation
Model serving
Model deployment tools
Pipeline orchestration
Feature engineering tools
|
|
gptkbp:released
|
gptkb:2017
|
|
gptkbp:supports
|
gptkb:Kubernetes
gptkb:Docker
Tensor Flow models
|
|
gptkbp:tutorials
|
Tensor Flow website
|
|
gptkbp:used_for
|
Production ML pipelines
|
|
gptkbp:utilizes
|
gptkb:Tensor_Flow_Data_Validation
gptkb:Tensor_Flow_Model_Analysis
gptkb:weapons
gptkb:Tensor_Flow_Serving
|
|
gptkbp:written_in
|
gptkb:Python
|
|
gptkbp:bfsParent
|
gptkb:Tensor_Flow
|
|
gptkbp:bfsLayer
|
4
|