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Action interface.ActionGenerator interface.ActionRepresentation interface.Agent interface.FunctionalUnit interface.FunctionalUnit2 interface.Agent interface.Environment interface.FunctionalUnit.State interface.StateGenerator interface.StateRepresentation interface.State interface.LinearAlgebra.subVectors(double[], double[]) on a batch of vector pairs.
DataSet or in a
DataSetCollection.double[p][o][i] where p is usually
defined by DataNames.PATTERN_COUNT, o by
FunctionalUnit.getOutputCount(), and i by
FunctionalUnit.getInputCount().
double[p][o] where p is
usually defined by DataNames.PATTERN_COUNT and o by
FunctionalUnit.getOutputCount().
DataSetCollection where the number of pattern is
usually defined by DataNames.PATTERN_COUNT.
FunctionalUnit.processPattern(double[], boolean, boolean).FunctionalUnit2.processPattern(double[], boolean, boolean, boolean, boolean, java.lang.String[]).double[p][i] where p is usually
defined by DataNames.PATTERN_COUNT and i by
FunctionalUnit.getInputCount().
double[][][] and
whether sub matrices are of the same dimensions.
double[][] and
whether sub vectors are of the same length.
double[rows][cols].
double[].
double[size].
Tools.saveDataSet(java.lang.String, lnsc.DataSet)) from a file.
Tools.saveDataSet(java.lang.String, lnsc.DataSet)) from a file.
#saveDataSet) from a file.
#saveDataSet) from a file.
#saveDataSet) from a file.
double[b] array in FastLSTMNetwork representing the
activity of the forget gates of the b memory blocks in order.
double[b] array in FastLSTMNetwork representing the
activity of the input gates of the b memory blocks in order.
double[b*c] array in FastLSTMNetwork representing the
concatenation of the b memory block c cell's output
activity in order.
double[c] array in FastLSTMMemoryBlock representing the
activity in the c memory cells.
double[b] array in FastLSTMNetwork representing the
activity of the output gate of the b memory blocks in order.
[-1,1]x[-1,1] space (including the boundary).
double[p][o] where p is
usually defined by DataNames.PATTERN_COUNT and o by
FunctionalUnit.getOutputCount().
double[p][o][k] where p is usually
defined by DataNames.PATTERN_COUNT, o by
FunctionalUnit.getOutputCount(), and k by
FunctionalUnit2#getParameterCount.
double[p][o][k][k] where p is usually
defined by DataNames.PATTERN_COUNT, o by
FunctionalUnit.getOutputCount(), k by
FunctionalUnit2#getParameterCount.
double[p][k] where p is usually
defined by DataNames.PATTERN_COUNT, k by
FunctionalUnit2#getParameterCount.
Integer indicating the number of patterns.
double[p][o][i][i] where p is usually
defined by DataNames.PATTERN_COUNT, o by
FunctionalUnit.getOutputCount(), and i by
FunctionalUnit.getInputCount().
double[p][o][i][i] where p is
usually defined by DataNames.PATTERN_COUNT and o by
FunctionalUnit.getOutputCount().
DataSet containing at least DataNames.INPUT_PATTERNS,
DataNames.TARGET_PATTERNS and DataNames.PATTERN_COUNT.
Object.toString() representation of a
vector.
Object.toString() representation of a
matrix (as defined by LinearAlgebra.isMatrix(java.lang.Object)).
Object.toString() representation of a
3D matrix of integer (as defined by LinearAlgebra.is3DMatrix(java.lang.Object)).
Object.toString() representation of a
vector of integer.
Object.toString() representation of a
matrix of integer (as defined by LinearAlgebra.isMatrix(java.lang.Object)).
DataSet containing at least DataNames.INPUT_PATTERNS,
DataNames.TARGET_PATTERNS and DataNames.PATTERN_COUNT.
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