cgnn

Type Members

1. class CGNN extends NNBase with Serializable

   

   Computational Graph-based Neural Networks (CGNN)

   Computational Graph-based Neural Networks (CGNN)

   Annotations

   @SerialVersionUID()

2. case class CGVertex(vType: VType.Value, vName: String, vInputs: Array[String], lossFunction: Option[LossFunction] = None, classWeights: Option[Array[Double]] = None, nIn: Option[Int] = None, nOut: Option[Int] = None, activation: Option[Activation] = None, poolingType: Option[PoolingType] = None, weightInit: Option[WeightInit] = None, biasInit: Option[Double] = None, dropOut: Option[Double] = None, kernelSize: Option[Array[Int]] = None, stride: Option[Array[Int]] = None, padding: Option[Array[Int]] = None, subIndices: Option[(Int, Int)] = None, op: Option[Op] = None, scaleFactor: Option[Double] = None, shiftFactor: Option[Double] = None, from: Option[Int] = None, stackSize: Option[Int] = None, processor: Option[InputPreProcessor] = None, maskArrayInputName: Option[String] = None, inputName: Option[String] = None) extends Product with Serializable

   

   Computation Graph Vertex

   Computation Graph Vertex

   vType

   vertex type, refer to VType

   vName

   vertex name

   vInputs

   vertex inputs

   lossFunction

   loss function

   nIn

   input cardinality

   nOut

   output cardinality

   activation

   activation

   poolingType

   pooling layer type

   op

   operation type of elementwise vertex Op.X (Add, Subtract, Product, Average, Max)

   Annotations

   @SerialVersionUID()

3. case class IType(inputType: Type, inputSize: Option[Int] = None, height: Option[Int] = None, width: Option[Int] = None, depth: Option[Int] = None, channels: Option[Int] = None) extends Product with Serializable

   

   Input Type

4. class Seq2Seq extends Serializable

   

   Sequence to Sequence (Seq2Seq)

   Sequence to Sequence (Seq2Seq)

   Annotations

   @SerialVersionUID()