Internet of Things

CNN’s consider images as 3D objects. A CNN processes RGB images in a way that R, G, and

B are ingested separately like they are stacked vertically together. This means that standard color

images are perceived by CNN as a rectangle; its height and width are determined via its pixels

and dimensions while the depth is considered as three-layer deep because of the RGB encoding.

When images move in CNN, they have to be described by the volumes of their input and output

with a mathematical representation of their multidimensionality through the 30×30×3 format.

Before working with CNN, it is mandatory to gain a rudimentary knowledge of linear

algebra. ...