1. cogx
2. libcog
3. toolkit
   1. toolkit.neuralnetwork
      1. (object)(trait)DifferentiableField
      2. (trait)DifferentiableFieldOps
      3. (trait)GradientPropagation
      4. (object)
         Implicits
      1. toolkit.neuralnetwork.function
         1. (case class)AplusBXtoN
         2. (trait)BasicOps
         3. (case class)Bias
         4. (object)
            Convolution
         5. (case class)CrossEntropy
         6. (case class)CrossEntropySoftmax
         7. (case class)CrossEntropySoftmaxes
         8. (case class)Downsample
         9. (object)
            Dropout
         10. (object)
             FrequencyConvolution
         11. (case class)FullyConnected
         12. (case class)MaxPooling
         13. (case class)ReLU
         14. (case class)RightCrop
         15. (case class)RightPad
         16. (case class)Softmax
         17. (case class)SpatialConvolution
         18. (case class)StackFeatures
         19. (case class)Subspace
         20. (case class)SumOfSquares
         21. (case class)Tanh
         22. (case class)TrainableState
         23. (case class)ZeroPad
      2. toolkit.neuralnetwork.layer
         1. (object)
            BiasLayer
         2. (object)
            ConvolutionLayer
         3. (object)
            FullyConnectedLayer
         4. (case class)Layer
      3. toolkit.neuralnetwork.policy
         1. (object)
            Best
         2. (object)
            ConvInit
         3. (class)ConvolutionalLayerPolicy
         4. (trait)Distribution
         5. (case class)FCInit
         6. (object)
            Freq
         7. (trait)LearningRule
         8. (case class)NormalDistribution
         9. (object)
            Space
         10. (case class)StandardLearningRule
         11. (object)
             StubInit
         12. (case class)UniformDistribution
         13. (trait)WeightInitPolicy
         14. (object)
             ZeroInit
      4. toolkit.neuralnetwork.source
         1. (case class)ByteDataSource
         2. (object)(class)ByteFileSensor
         3. (case class)ByteLabelSource
         4. (case class)RandomSource
         5. (object)(class)SaveParameters
      5. toolkit.neuralnetwork.util
         1. (object)
            Classify
         2. (object)
            CorrectCount
         3. (object)
            LowPass
         4. (object)
            Norm
         5. (object)
            NormalizedLowPass