scalation/scalation/scalation.modeling/scalation.modeling.forecasting/scalation.modeling.forecasting.neuralforecasting/DenseLayer

DenseLayer

scalation.modeling.forecasting.neuralforecasting.DenseLayer

case class DenseLayer(n_x: Int, n_y: Int, f: AFF)

The DenseLayer class applies an (optionally activated) linear transformation to the input matrix X. Yp = f(X W + b) When f is null, it acts as a Linear Layer.

Value parameters

f: the activation function family for layers 1->2 (input to output)
n_x: the second dimension of the input matrix (m by n_x)
n_y: the second dimension of the output matrix (m by n_y)

Attributes

See also: pytorch.org/docs/stable/generated/torch.nn.Linear.html#torch.nn.Linear
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Supertypes: trait Serializable

trait Product

trait Equals

class Object

trait Matchable

class Any
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Members list

Value members

Concrete methods

Forward pass: calculate the output of this layer.

Value parameters

x: the m by nx input matrix (full or batch)

Attributes

Inherited methods

Attributes

Inherited from:: Product

Attributes

Inherited from:: Product

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