Fix Dense init bug where initialisation of kernel weights with a numpy array raises a TypeError

[delzac]

Allow the initialisation of the kernel weight to be directly initialised by a numpy array, in line with the documentation of Dense layer.

Previously, before this amendment, there is a bug (#2913 ) where initialising kernel weight with numpy array raises
TypeError: in method 'random_initializer_with_rank', argument 1 of type 'CNTK::ParameterInitializer const &'

This method of allowing dense kernel weight to be initialised by a numpy array is the same as what you see in the all the Convolution API Layers.

[delzac]

@liqunfu @KeDengMS @BowenBao Like to request for review. Its a trivial change, but will allow weights from pre-trained models from other frameworks to be instantiated in cntk.