|
gptkbp:instance_of
|
gptkb:Database_Management_System
|
|
gptkbp:bfsLayer
|
3
|
|
gptkbp:bfsParent
|
gptkb:Graphics_Processing_Unit
|
|
gptkbp:dependency
|
gptkb:Graphics_Processing_Unit
|
|
gptkbp:developed_by
|
gptkb:Job_Search_Engine
|
|
gptkbp:has
|
gptkb:musician
gptkb:document
gptkb:Community_support
Release notes
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Tensor Flow Datasets
|
|
gptkbp:includes
|
Audio datasets
Image datasets
Tabular datasets
Text datasets
|
|
gptkbp:is_available_on
|
gptkb:Google_Cloud
gptkb:AWS
gptkb:archive
gptkb:Azure
|
|
gptkbp:is_compatible_with
|
gptkb:Keras
gptkb:JAX
gptkb:Py_Torch
|
|
gptkbp:is_maintained_by
|
gptkb:Tensor_Flow_team
|
|
gptkbp:is_open_source
|
gptkb:theorem
|
|
gptkbp:is_part_of
|
Tensor Flow ecosystem
|
|
gptkbp:is_supported_by
|
gptkb:municipality
Feedback mechanisms
Collaboration tools
Continuous integration
Version control
API references
Documentation tools
Testing frameworks
User guides
Community contributions
Issue tracking
Monitoring tools
Release management
Visualization tools
Feature requests
Performance analysis tools
Deployment tools
FA Qs
Example notebooks
|
|
gptkbp:is_used_for
|
gptkb:software_framework
Data analysis
Experimentation
Benchmarking
Model evaluation
Model training
|
|
gptkbp:is_used_in
|
gptkb:film_production_company
gptkb:Educational_Institution
gptkb:Research_Institute
|
|
gptkbp:language
|
gptkb:Library
|
|
gptkbp:latest_version
|
2.0.0
|
|
gptkbp:offers
|
Data augmentation
Dataset shuffling
Dataset splitting
|
|
gptkbp:provides
|
Data preprocessing tools
Data loading utilities
Standardized datasets
|
|
gptkbp:release_date
|
gptkb:2018
|
|
gptkbp:supports
|
gptkb:Graphics_Processing_Unit
Pandas Data Frames
Num Py arrays
TF Record format
|