LayerHidden<N extends num, E, T extends Signal<N, E, T>, S extends Scale<N>> class

Layer specialized for hidden neurons.

Inheritance

Properties

activationFunction → ActivationFunction<N, E>: finalinherited
asLayerHidden → LayerHidden<N, E, T, S>: no setteroverride
asLayerInput → LayerInput<N, E, T, S>: no setterinherited
asLayerOutput → LayerOutput<N, E, T, S>: no setterinherited
format → String: The signal format of this Layer.
no setterinherited
gradients → List<T>: no setterinherited
hashCode → int: The hash code for this object.
no setterinherited
hasNextLayer → bool: no setterinherited
layerType → String: no setteroverride
length → int: no setterinherited
neurons → T: no setterinherited
nextLayer → Layer<N, E, T, S>?: no setterinherited
previousGradients → List<T>: no setterinherited
previousLayer → Layer<N, E, T, S>?: no setterinherited
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
weights → List<T>: no setterinherited
withBiasNeuron → bool: finalinherited

activateLayer() → void: override
connectTo(Layer<N, E, T, S> nextLayer, {Random? random, List<T>? weights}) → void: override
getNeurons() → List<N>: inherited
getNeuronsAsDouble() → List<double>: inherited
getNeuronsAsString() → List<String>: inherited
getNeuronsDenormalized(S scale) → List<N>: inherited
noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
resetGradients() → void: inherited
resetLayer() → void: inherited
resetNetwork() → void: inherited
resetNextLayerNetwork() → void: inherited
resetWeights([Random? rand]) → void: inherited
setNeurons(T signal) → void: inherited
toJson({bool withIndent = false}) → String: Converts to an encoded JSON.
inherited
toJsonMap() → Map<String, dynamic>: Converts this Layer to a JSON Map.
inherited
toString() → String: A string representation of this object.
inherited