Convolution Neural Network

A 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 pre-processing required in a ConvNet is much lower as compared to other classification algorithms. While in primitive methods filters are hand-engineered, with enough training, ConvNets have the ability to learn these filters/characteristics.

About Me


I'm Rajarshi Bhadra. Pursuing Electrical Engineering from Maulana Abul Kalam Azad University of Technology. I'm a Data Science enthusiast and working on several projects of Machine Learning, Deep Learning, Artificial Intelligence, and Image Processing.