Apply this layer (forward computation)
Apply this layer (forward computation)
Input value
Output computation information.
Backward computation
Backward computation
Sequence of entries to be used for backward computation.
Error sequence, to backpropagate into previous layer.
For the computation, we only used denominator layout. (cf. Wikipedia Page of Matrix Computation) For the computation rules, see "Matrix Cookbook" from MIT.
Output converter from OutInfo to Vector *
Output converter from OutInfo to Vector *
Size of input *
Size of input *
Size of output *
Size of output *
Apply RDD of vector.
Apply RDD of vector.
RDD of (ID, Value), ID is Long value.
RDD of (ID, Vector), with same ID for input.
Backward computation using propagated error.
Backward computation using propagated error.
Propagated error sequence.
Error sequence for back propagation.
Broadcast resources of this layer.
ClassTag for input *
Apply Parallel Sequence of vector.
Apply Parallel Sequence of vector.
Parallel Sequence of Input
Parallel Sequence of Vector
Apply RDD of vector.
Apply RDD of vector.
RDD of (ID, Value), ID is Long value.
RDD of (ID, Vector), with same ID for input.
Apply this layer (forward computation)
Set weight builder for this layer.
Set weight builder for this layer.
Weight builder to be applied
self
Sequence for backpropagation.
Sequence for backpropagation. Stores output values. *
True if this layer affected by backward propagation *
True if this layer affected by backward propagation *
Weight Loss of this layer
Assign whether this layer updatable or not.
Assign whether this layer updatable or not. value.
True if this layer used in backpropagation.
Unpersist broadcast of this layer.
Unpersist broadcast of this layer.
Layer: Basic, Fully-connected Layer