SimpleCNN

scalation.modeling.neuralnet.SimpleCNN
object SimpleCNN

The SimpleCNN object contains a simple dataset for testing Gradient Descent (GD) and Incremental Gradient Descent (IGD) optimization algorithms.

Attributes

See also
Graph
Supertypes
class Object
trait Matchable
class Any
Self type
SimpleCNN.type

Members list

Value members

Concrete fields

val x: MatrixD

Build an input/predictor matrix (default number of lags p = 3)

Build an input/predictor matrix (default number of lags p = 3)

Attributes

val y: VectorD

Sequential Data, e.g., time series or acoustic signal

Sequential Data, e.g., time series or acoustic signal

Attributes

val yy: MatrixD