plugins

Type Members

1. trait Builtins extends ImplicitsSingleton with Layers with Weights with Logging with Operators with FloatTraining with FloatLiterals with FloatWeights with RawFloatLayers with FloatLayers with DoubleTraining with DoubleLiterals with DoubleWeights with RawDoubleLayers with DoubleLayers with INDArrayTraining with INDArrayLiterals with INDArrayWeights with RawINDArrayLayers with INDArrayLayers

   

   A plugin that enables all other DeepLearning.scala built-in plugins.

   A plugin that enables all other DeepLearning.scala built-in plugins.

   Author:

   杨博 (Yang Bo)

   Example:

   1. When creating a Builtins from Factory,

      import com.thoughtworks.feature.Factory
      val hyperparameters = Factory[plugins.Builtins].newInstance()

      and import anything in implicits,

      import hyperparameters.implicits._

      then all DeepLearning.scala built-in features should be enabled.

      ---

      Creating weights:

      import org.nd4j.linalg.factory.Nd4j
      import org.nd4j.linalg.api.ndarray.INDArray

      val numberOfInputFeatures = 8
      val numberOfOutputFeatures = 1
      val initialValueOfWeight: INDArray = Nd4j.rand(numberOfInputFeatures, numberOfOutputFeatures)
      val weight: hyperparameters.INDArrayWeight = hyperparameters.INDArrayWeight(initialValueOfWeight)

      Creating neural network layers,

      def fullyConnectedLayer(input: INDArray): hyperparameters.INDArrayLayer = {
        input dot weight
      }

      or loss functions:

      def hingeLoss(scores: hyperparameters.INDArrayLayer, label: INDArray): hyperparameters.DoubleLayer = {
        hyperparameters.max(0.0, 1.0 - label * scores).sum
      }

      Training:

      import scalaz.std.vector._
      import scalaz.concurrent.Task
      import com.thoughtworks.each.Monadic._

      val batchSize = 4
      val numberOfIterations = 10
      val input = Nd4j.rand(batchSize, numberOfInputFeatures)
      val label = Nd4j.rand(batchSize, numberOfOutputFeatures)

      @monadic[Task]
      def train: Task[Vector[Double]] = {
        for (iteration <- (0 until numberOfIterations).toVector) yield {
          hingeLoss(fullyConnectedLayer(input), label).train.each
        }
      }

      When the training is done, the loss of the last iteration should be no more than the loss of the first iteration

      train.map { lossesByIteration =>
        lossesByIteration.last should be <= lossesByIteration.head
      }

2. trait DoubleLayers extends RawDoubleLayers

   
   Author:

   杨博 (Yang Bo)

   Example:

   1. xxx

      import com.thoughtworks.feature.Factory
      import com.thoughtworks.deeplearning.plugins._
      val hyperparameters = Factory[DoubleTraining with DoubleLayers with DoubleLiterals with ImplicitsSingleton with Operators].newInstance()
      import hyperparameters.implicits._
      val network: hyperparameters.DoubleLayer = (- (6.1f - (- DoubleLayerOps(3.4f))))
      network.predict

3. trait DoubleLiterals extends AnyRef

   

4. trait DoubleTraining extends Training

   

   A DeepLearning.scala plugin that enables train method for neural networks whose loss is a scala.Double.

   A DeepLearning.scala plugin that enables train method for neural networks whose loss is a scala.Double.

   Author:

   杨博 (Yang Bo)

5. trait DoubleWeights extends Weights

   
   Author:

   杨博 (Yang Bo)

6. trait FloatLayers extends RawFloatLayers

   
   Author:

   杨博 (Yang Bo)

   Example:

   1. xxx

      import com.thoughtworks.feature.Factory
      import com.thoughtworks.deeplearning.plugins._
      val hyperparameters = Factory[FloatTraining with FloatLayers with FloatLiterals with ImplicitsSingleton with Operators].newInstance()
      import hyperparameters.implicits._
      val network: hyperparameters.FloatLayer = (- (6.1f - (- FloatLayerOps(3.4f))))
      network.predict

7. trait FloatLiterals extends AnyRef

   

8. trait FloatTraining extends Training

   

   A DeepLearning.scala plugin that enables train method for neural networks whose loss is a scala.Float.

   A DeepLearning.scala plugin that enables train method for neural networks whose loss is a scala.Float.

   Author:

   杨博 (Yang Bo)

9. trait FloatWeights extends Weights

   
   Author:

   杨博 (Yang Bo)

10. trait INDArrayLayers extends RawINDArrayLayers

    
    Author:

    杨博 (Yang Bo)

11. trait INDArrayLiterals extends AnyRef

    

12. trait INDArrayTraining extends Training

    

    A DeepLearning.scala plugin that enables train method for neural networks whose loss is a org.nd4j.linalg.api.ndarray.INDArray.

    A DeepLearning.scala plugin that enables train method for neural networks whose loss is a org.nd4j.linalg.api.ndarray.INDArray.

    Author:

    杨博 (Yang Bo)

13. trait INDArrayWeights extends Weights with ImplicitsSingleton

    

    A plugin to create INDArray weight.

    A plugin to create INDArray weight.

    Author:

    杨博 (Yang Bo)

14. trait ImplicitsSingleton extends AnyRef

    

    A plugin that creates the instance of implicits.

    A plugin that creates the instance of implicits.

    Any fields and methods in Implicits added by other plugins will be mixed-in and present in implicits.

15. trait Layers extends AnyRef

    

16. trait Logging extends Layers with Weights

    

    A plugin that logs uncaught exceptions raised from Layer and Weight.

    A plugin that logs uncaught exceptions raised from Layer and Weight.

    Author:

    杨博 (Yang Bo)

17. trait Operators extends AnyRef

    

    A plugin of definitions of polymorphic operators.

    A plugin of definitions of polymorphic operators.

    Those functions are implemented in RawFloatLayers, RawDoubleLayers and RawINDArrayLayers.

    Author:

    杨博 (Yang Bo)

18. trait RawDoubleLayers extends Layers

    
    Author:

    杨博 (Yang Bo)

    Example:

    1. xxx

       import com.thoughtworks.feature.Factory
       import com.thoughtworks.deeplearning.plugins._
       val hyperparameters = Factory[DoubleLiterals with DoubleTraining with RawDoubleLayers with ImplicitsSingleton].newInstance()
       import hyperparameters.implicits._
       val network = (- (- (- DoubleLayerOps(3.4f))))
       network.predict

19. trait RawFloatLayers extends Layers

    
    Author:

    杨博 (Yang Bo)

    Example:

    1. xxx

       import com.thoughtworks.feature.Factory
       import com.thoughtworks.deeplearning.plugins._
       val hyperparameters = Factory[FloatLiterals with FloatTraining with RawFloatLayers with ImplicitsSingleton].newInstance()
       import hyperparameters.implicits._
       val network = (- (- (- FloatLayerOps(3.4f))))
       network.predict

20. trait RawINDArrayLayers extends RawDoubleLayers with DoubleLiterals with ImplicitsSingleton

    
    Author:

    杨博 (Yang Bo)

21. trait Training extends AnyRef

    

    A DeepLearning.scala plugin that enables methods defined in DeepLearning.Ops for neural networks.

    A DeepLearning.scala plugin that enables methods defined in DeepLearning.Ops for neural networks.

    Author:

    杨博 (Yang Bo)

22. trait Weights extends AnyRef

    
    Author:

    杨博 (Yang Bo)