Statements (57)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Author
|
| gptkbp:bfsLayer |
6
|
| gptkbp:bfsParent |
gptkb:fastai.collab
|
| gptkbp:allows |
custom metrics
|
| gptkbp:can_be_extended_by |
custom layers
|
| gptkbp:can_be_used_with |
tabular data
text data image data fastai.data module fastai.callback module fastai.metrics module |
| gptkbp:character_customization |
callbacks
|
| gptkbp:enables |
mixed precision training
|
| gptkbp:facilitates |
model interpretation
|
| https://www.w3.org/2000/01/rdf-schema#label |
fastai.learner
|
| gptkbp:includes |
data augmentation
|
| gptkbp:integrates_with |
gptkb:Py_Torch
|
| gptkbp:is_used_for |
classification tasks
training machine learning models regression tasks natural language processing tasks computer vision tasks load pre-trained models create custom training loops create ensembles export models for production implement callbacks for adjusting learning rates implement callbacks for custom actions implement callbacks for debugging implement callbacks for early stopping implement callbacks for experiment tracking implement callbacks for gradient clipping implement callbacks for logging implement callbacks for logging metrics implement callbacks for model checkpointing implement callbacks for model evaluation implement callbacks for monitoring implement callbacks for performance monitoring implement callbacks for resource management implement callbacks for saving models implement callbacks for visualizations perform hyperparameter tuning visualize training results |
| gptkbp:part_of |
fastai library
|
| gptkbp:provides |
training statistics
data loaders callbacks for training model saving and loading Learner class learning rate finder model evaluation methods progress bar during training |
| gptkbp:supports |
transfer learning
early stopping distributed training multi-GPU training |
| gptkbp:tuning |
hyperparameters
|