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What is Convolutional Neural Networks (CNN)?

In deep learning, a convolutional neural network (CNN/ConvNet) is a class of deep neual networks, most commonly applied to analyze visual imagery. Now when we think of a neural network we think about matrix multiplications but that is not the case with ConvNet. It uses a special technique called Convolution. Now in mathematics convolution is a mathematical operation on two functions that produces a third function that expresses how the shape of one is modified by the other.

But we don’t really need to go behind the mathematics part to understand what a CNN is or how it works. Bottom line is that the role of the ConvNet is to reduce the images into a form that is easier to process, without losing features that are critical for getting a good prediction.