|
gptkbp:instance_of
|
gptkb:software
|
|
gptkbp:allows
|
performance metrics calculation
|
|
gptkbp:analyzes
|
gptkb:neural_networks
model performance
deep learning models
regression models
transfer learning models
classification models
ensemble models
time series models
binary models
multi-class models
|
|
gptkbp:can_create
|
gptkb:reports
ROC curves
confusion matrices
precision-recall curves
|
|
gptkbp:can_handle
|
large datasets
|
|
gptkbp:collaborated_with
|
universities
research institutions
industry partners
|
|
gptkbp:developed_by
|
gptkb:Google
|
|
gptkbp:enables
|
model comparison
|
|
gptkbp:exported_to
|
model artifacts
|
|
gptkbp:has
|
gptkb:API
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Tensor Flow Model Analysis
|
|
gptkbp:integrates_with
|
gptkb:Big_Query
gptkb:board_game
gptkb:weapons
|
|
gptkbp:is_available_on
|
gptkb:Git_Hub
|
|
gptkbp:is_compatible_with
|
gptkb:TFX
|
|
gptkbp:is_documented_in
|
Tensor Flow documentation
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_part_of
|
gptkb:Google_Cloud_AI
open-source community
ML workflow
|
|
gptkbp:is_promoted_by
|
gptkb:Google_AI
machine learning conferences
Tensor Flow community
|
|
gptkbp:is_supported_by
|
gptkb:Linux
gptkb:mac_OS
gptkb:Windows
|
|
gptkbp:is_used_by
|
data scientists
machine learning engineers
|
|
gptkbp:is_used_for
|
model debugging
|
|
gptkbp:offers
|
batch processing
|
|
gptkbp:part_of
|
Tensor Flow ecosystem
|
|
gptkbp:provides
|
data validation
visualization tools
feature importance analysis
|
|
gptkbp:released_in
|
gptkb:2018
|
|
gptkbp:supports
|
cross-validation
custom metrics
Tensor Flow models
|
|
gptkbp:used_for
|
model evaluation
|
|
gptkbp:written_in
|
gptkb:Python
|
|
gptkbp:bfsParent
|
gptkb:Tensor_Flow_Extended_(TFX)
|
|
gptkbp:bfsLayer
|
5
|