InceptionInterface
- class ketos.neural_networks.inception.InceptionInterface(n_blocks=3, n_classes=2, initial_filters=16, optimizer=Adam ketos recipe, loss_function=BinaryCrossentropy ketos recipe, metrics=[BinaryAccuracy ketos recipe, Precision ketos recipe, Recall ketos recipe])[source]
Creates an Inception model with the standardized Ketos interface.
- Args:
- num_blocks: int
The number of inception blocks to be used.
- n_classes:int
The number of classes. The output layer uses a Softmax activation and will contain this number of nodes, resulting in model outputs with this many values summing to 1.0.
- initial_filters:int
The number of filters used in the first ResNetBlock. Subsequent blocks will have two times more filters than their previous block.
- optimizer: ketos.neural_networks.RecipeCompat object
A recipe compatible optimizer (i.e.: wrapped by the ketos.neural_networksRecipeCompat class)
- loss_function: ketos.neural_networks.RecipeCompat object
A recipe compatible loss_function (i.e.: wrapped by the ketos.neural_networksRecipeCompat class)
- metrics: list of ketos.neural_networks.RecipeCompat objects
A list of recipe compatible metrics (i.e.: wrapped by the ketos.neural_networksRecipeCompat class). These metrics will be computed on each batch during training.
Methods
Attributes
checkpoint_direarly_stopping_monitorSets an early stopping monitor.
log_dirtest_generatortrain_generatorval_generatorvalid_lossesvalid_metricsvalid_optimizers