See: Description
| Class | Description |
|---|---|
| DifferentiableFeedforwardNeuralNetwork |
A feedforward neural network that can have an arbitrary number of layers,
and an arbitrary differentiable squashing (activation) function assigned to
each layer.
|
| DifferentiableGeneralizedLinearModel |
A GradientDescenable version of a GeneralizedLinearModel, in
other words, a GeneralizedLinearModel where the squashing
function is differentiable
|
| ElementWiseDifferentiableVectorFunction |
An ElementWiseVectorFunction that is also a DifferentiableVectorFunction
|
| ElementWiseVectorFunction |
A VectorFunction that operates on each element of the Vector indepenently
of all others.
|
| EntropyEvaluator |
Takes a vector of inputs and computes the log base 2 entropy of the input.
|
| FeedforwardNeuralNetwork |
A feedforward neural network that can have an arbitrary number of layers,
and an arbitrary squashing (activation) function assigned to each layer.
|
| GaussianContextRecognizer |
Uses a MixtureOfGaussians to compute the probability of the different
constituent MultivariateGaussians (that is, the contexts)
|
| GaussianContextRecognizer.Learner |
Creates a GaussianContextRecognizer from a Dataset[Vector] using
a BatchClusterer
|
| GeneralizedLinearModel |
A VectorizableVectorFunction that is a matrix multiply followed by a
VectorFunction...
|
| LinearCombinationVectorFunction |
A weighted linear combination of scalar functions.
|
| LinearVectorFunction |
The
LinearFunction class is a simple
VectorFunction that just scales the given input vector by a
scalar value. |
| MultivariateDiscriminant |
Allows learning algorithms (vectorizing, differentiating) on a matrix*vector
multiply.
|
| MultivariateDiscriminantWithBias |
A multivariate discriminant (matrix multiply) plus a constant vector
that gets added to the output of the discriminant.
|
| ScalarBasisSet<InputType> |
Collection of scalar basis functions, where the ith function operates
on the ith element of the output Vector
|
| SubVectorEvaluator |
Extracts the given set of indices from an input vector to create a new
vector containing the input vector's elements at those indices.
|
| ThreeLayerFeedforwardNeuralNetwork |
This is a "standard" feedforward neural network with a single hidden
layer.
|
| VectorizableVectorConverter |
The
VectorizableVectorConverter class implements a conversion
between a Vectorizable and an Vector by calling the proper
conversion method on the Vectorizable. |
| VectorizableVectorConverterWithBias |
The
VectorizableVectorConverterWithBias class extends the
VectorizableVectorConverter class to append a constant bias value of
1.0 to the vector returned by the converter. |