Convolutional Neural Network (ConvNet/CNN)

Convolutional Neural Network (ConvNet/CNN) is a Deep Learning algorithm which can take in an input image, assign importance (learnable weights and biases) to various aspects/objects in the image and be able to differentiate one from the other.

The architecture of a ConvNet is analogous to that of the connectivity pattern of Neurons in the Human Brain and was inspired by the organization of the Visual Cortex. Individual neurons respond to stimuli only in a restricted region of the visual field known as the Receptive Field. A collection of such fields overlap to cover the entire visual area.

Extra reading:

A Comprehensive Guide to Convolutional Neural Networks

Papers:

Convolutional neural networks

Video:

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Backpropagation

Fully Convolutional Network