ann

trait ActivationFunction extends Serializable

Trait for functions and their derivatives for functional layers
class AffineLayer extends Layer

Layer properties of affine transformations, that is y=A*x+b
class AffineLayerModel extends LayerModel

Model of Affine layer
class FeedForwardModel extends TopologyModel

Model of Feed Forward Neural Network.
class FeedForwardTopology extends Topology

Feed forward ANN
class FunctionalLayer extends Layer

Functional layer properties, y = f(x)
class FunctionalLayerModel extends LayerModel

Functional layer model.
trait Layer extends Serializable

Trait that holds Layer properties, that are needed to instantiate it.
trait LayerModel extends Serializable

Trait that holds Layer weights (or parameters).
trait LossFunction extends AnyRef

Trait for loss function
class SigmoidFunction extends ActivationFunction

Implements Sigmoid activation function
class SigmoidLayerModelWithSquaredError extends FunctionalLayerModel with LossFunction
class SigmoidLayerWithSquaredError extends Layer
class SoftmaxLayerModelWithCrossEntropyLoss extends LayerModel with LossFunction
class SoftmaxLayerWithCrossEntropyLoss extends Layer
trait Topology extends Serializable

Trait for the artificial neural network (ANN) topology properties
trait TopologyModel extends Serializable

Trait for ANN topology model

object AffineLayerModel extends Serializable

Fabric for Affine layer models
object ApplyInPlace

Implements in-place application of functions in the arrays
object BreezeUtil

In-place DGEMM and DGEMV for Breeze
object FeedForwardModel extends Serializable

Fabric for feed forward ANN models
object FeedForwardTopology extends Serializable

Factory for some of the frequently-used topologies
object SparkCodeHolder extends Product with Serializable

Annotations
@SparkCode()