Input class

Input Layer of Neural Network Transform input List<double> of data into Matrix This Layer is generated by NeuralNetwork and shouldn't be included into the list of model's Layers

Inheritance

Constructors

activatedDerivativeBuffer ↔ List<Matrix>?: Derivatives of the activation function used in the learning process
getter/setter pairinherited
b ↔ Matrix?: Matrix.column of the biases of the Layer
getter/setter pairinherited
hashCode → int: The hash code for this object.
no setterinherited
inputDataBuffer ↔ Matrix?: Input data buffer used in the learning proccess
getter/setter pairinherited
name ↔ String?: The name of the layer
getter/setter pairinherited
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
trainable ↔ bool: Identify if this is trainable
getter/setter pairinherited
units ↔ int: Number of rows in output Matrix.column after activation (or applying) of the Layer over input data
getter/setter pairinherited
useBiases → bool: Defines if train biases or keep them as zero vector
finalinherited
w ↔ Matrix?: Matrix of the weights of the Layer
getter/setter pairinherited
wasInitialized ↔ bool: Identify if initialization was called
getter/setter pairinherited

act(dynamic inputs, {bool train = false}) → Matrix: Apply Layer's logic to the inputs
override
clear() → void: After-training method, typically clear buffered data from the training process
inherited
init([dynamic parametr]) → void: Initialization of Layer's parametrs should be called before calling (act()) the Layer
override
noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
toString() → String: A string representation of this object.
override