Which of the following statements are true?

I. The purpose of featuring in CNN is to use the mathematical combination of two matrices to produce a third matrix to reduce the dimension of the original matrix.

II$.$ In the case of a CNN$,$ the convolution is performed on the input data with the use of a filter or kernel to then produce a feature map.

III. Pooling in CNN is to progressively reduce the spatial size of the representation to reduce the number of parameters and computations in the network.

IV$.$ The ReLu $($Rectified Linear Unit$)$ Layer is the most commonly deployed activation function for the outputs of the CNN neurons.

V$.$ Flattening is converting the data into a $1-$dimensional array for inputting it to the next layer.

Question $6$ options:

All of the above

I, II$,$ III, IV

II$,$ III, IV$,$ V

I, III, IV$,$ V