|
gptkbp:instance_of
|
gptkb:machine_learning
|
|
gptkbp:allows
|
Model evaluation
|
|
gptkbp:built
|
gptkb:Tensor_Flow_core
|
|
gptkbp:can_be_combined_with
|
Other Tensor Flow components
|
|
gptkbp:can_be_used_for
|
Natural language processing
Anomaly detection
Image classification
Reinforcement learning
Time series forecasting
|
|
gptkbp:can_be_used_in
|
Research and production
|
|
gptkbp:can_be_used_with
|
gptkb:Tensor_Flow.js
gptkb:Tensor_Flow_Lite
gptkb:Tensor_Flow_Serving
|
|
gptkbp:deployment
|
Cloud platforms
|
|
gptkbp:developed_by
|
gptkb:Google
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
TF Estimators
|
|
gptkbp:is_available_on
|
gptkb:Git_Hub
|
|
gptkbp:is_compatible_with
|
gptkb:TPUs
GPUs
|
|
gptkbp:is_designed_for
|
Scalability
|
|
gptkbp:is_documented_in
|
Tensor Flow documentation
|
|
gptkbp:is_integrated_with
|
gptkb:Keras
|
|
gptkbp:is_optimized_for
|
gptkb:performance
|
|
gptkbp:is_part_of
|
gptkb:Google_Cloud_AI
Tensor Flow ecosystem
|
|
gptkbp:is_supported_by
|
Community contributions
|
|
gptkbp:is_updated_by
|
By Google
|
|
gptkbp:is_used_by
|
gptkb:researchers
Data scientists
Machine learning engineers
|
|
gptkbp:is_used_in
|
Industry applications
|
|
gptkbp:part_of
|
gptkb:Tensor_Flow
|
|
gptkbp:provides
|
Pre-built models
Data preprocessing tools
Logging and monitoring tools
Model checkpoints
Model export options
High-level APIs
|
|
gptkbp:suitable_for
|
Large datasets
Real-time applications
|
|
gptkbp:supports
|
Cross-validation
Hyperparameter tuning
Multiple data formats
Ensemble methods
Distributed training
Model versioning
Custom training loops
Feature columns
Batch and online predictions
|
|
gptkbp:used_for
|
Building machine learning models
|
|
gptkbp:written_in
|
gptkb:Python
|
|
gptkbp:bfsParent
|
gptkb:tensorflow
|
|
gptkbp:bfsLayer
|
6
|