Statements (71)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:allows |
Model evaluation
|
| gptkbp:can_be_used_with |
gptkb:Keras
TP Us GP Us |
| gptkbp:deployment |
Cloud platforms
|
| gptkbp:developed_by |
gptkb:Job_Search_Engine
|
| https://www.w3.org/2000/01/rdf-schema#label |
TF Estimator
|
| gptkbp:is_integrated_with |
gptkb:board_game
|
| gptkbp:is_used_for |
Natural language processing
Speech recognition Text classification Data visualization Image segmentation Anomaly detection Transfer learning Feature selection Collaborative filtering Ensemble methods Image classification Image recognition Reinforcement learning Generative models Time series forecasting Classification tasks Regression tasks Graph neural networks Clustering tasks Building machine learning models Graph-based learning Graph-based models |
| gptkbp:part_of |
gptkb:Graphics_Processing_Unit
|
| gptkbp:provides |
Checkpointing
High-level API Logging capabilities Support for distributed computing Data augmentation tools Evaluation metrics Support for various optimizers API for custom training Integration with other Tensor Flow tools Model checkpointing Model export functionality Predefined models Support for custom loss functions Support for dropout layers Support for sequence models Support for various activation functions Training summaries |
| gptkbp:supports |
gptkb:Tensor_Flow_Serving
Batch processing Data preprocessing Cross-validation Feature engineering Hyperparameter tuning Real-time predictions Data pipelines Distributed training Model interpretability Model deployment Batch normalization Model versioning Multi-task learning Custom training loops Feature columns Model fine-tuning Multi-modal learning Multiple data input formats Scalable training |
| gptkbp:bfsParent |
gptkb:Tensor_Flow_Model_Optimization_Toolkit
|
| gptkbp:bfsLayer |
4
|