DenseNetInterface
- class ketos.neural_networks.densenet.DenseNetInterface(dense_blocks=[6, 12, 24, 16], growth_rate=32, compression_factor=0.5, n_classes=2, dropout_rate=0.2, optimizer=Adam ketos recipe, loss_function=CategoricalCrossentropy ketos recipe, metrics=[BinaryAccuracy ketos recipe, Precision ketos recipe, Recall ketos recipe])[source]
Methods
Attributes
checkpoint_dir
early_stopping_monitor
Sets an early stopping monitor.
log_dir
test_generator
train_generator
val_generator
valid_losses
valid_metrics
valid_optimizers