neupy.layers.Dropout

class neupy.layers.Dropout[source]

Dropout layer

Parameters:
proba : float

Fraction of the input units to drop. Value needs to be between 0 and 1.

name : str or None

Layer’s identifier. If name is equal to None than name will be generated automatically. Defaults to None.

Attributes:
input_shape : tuple

Returns layer’s input shape in the form of a tuple. Shape will not include batch size dimension.

output_shape : tuple

Returns layer’s output shape in the form of a tuple. Shape will not include batch size dimension.

training_state : bool

Defines whether layer in training state or not. Training state will enable some operations inside of the layers that won’t work otherwise.

parameters : dict

Parameters that networks uses during propagation. It might include trainable and non-trainable parameters.

graph : LayerGraph instance

Graphs that stores all relations between layers.

Methods

disable_training_state() Context manager that switches off trainig state.
initialize() Set up important configurations related to the layer.
options = {'name': Option(class_name='BaseLayer', value=Property(name="name")), 'proba': Option(class_name='Dropout', value=ProperFractionProperty(name="proba"))}[source]
output(input_value)[source]

Return output base on the input value.

Parameters:
input_value
proba = None[source]