Which of the following statements is true?

I. Within the realm of deep learning, a convolutional neural network $($CNN$)$ represents a category of deep neural networks, primarily tailored for the analysis of visual data, with a specific focus on pixel$-$level information.

II$.$ CNNs are alternatively referred to as shift invariant or space invariant artificial neural networks due to their architectural feature of shared weights and their ability to maintain translation invariance properties.

III. A pixel, also known as a pel or picture element, denotes the tiniest discrete element composing an image, typically manifested as a colored dot on a CRT screen, as per computer science terminology.

IV$.$ The Convolution Layer involves the transformation of a single image into a collection of filtered images.

V$.$ In the context of CNNs$,$ Max Pooling entails the reduction of a feature matrix to a smaller version by selecting the maximum value within a smaller matrix or subset contained within the feature matrix.

Question $26$ options:

I, II$,$ III, IV

I, II$,$ III, V

II$,$ III, IV$,$ V

None of the above

All of the above