scalation.modeling.forecasting.neuralforecasting.RMSNorm
The RMSNorm class will, in computing the output, normalize by dividing by the Root Mean Square (RMS).
Attributes
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Graph
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Supertypes
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trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any
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Forward pass: calculate the output of this layer given the values sent to all its neurons: u = W x where W is a weight matrix
Forward pass: calculate the output of this layer given the values sent to all its neurons: u = W x where W is a weight matrix
Value parameters
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u
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the input vector to the given layer
Attributes
An iterator over the names of all the elements of this product.
An iterator over the names of all the elements of this product.
Attributes
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Inherited from:
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Product
An iterator over all the elements of this product.
An iterator over all the elements of this product.
Attributes
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Returns
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in the default implementation, an Iterator[Any]
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Inherited from:
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Product