A Detailed Study of Deep Learning using Convolutional Neural Network Approach
J. Parkavi · International Journal for Research in Applied Science and Engineering Technology · 2020
Deep learning is an Artificial intelligence network that works like a human brain to process data for detecting objects and making decisions without human supervision. Convolutional neural network (CNN) is a subset of deep learning methodology which is used for solving complex problems composed of multiple building blocks, such as convolution layers, pooling layers, and fully connected layers, and is designed to automatically and adaptively learn spatial hierarchies of features through a back propagation algorithm [10]. This review article offers a perspective on the basic concepts of CNN and its application in the field of Image processing, and discusses its challenges and future directions in the field of AI