Computes error statistics.

Creates the next HiddenLayer in the Network.

Determines whether the specified object is equal to the current object.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Returns a forecast for each of the Network's outputs computed from the trained Network.

Returns the derivatives of the outputs with respect to the Weights evaluated at x.

Serves as a hash function for a particular type.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Returns a string that represents the current object.