A Review of Convolutional Neural Networks

Arohan Ajit, Koustav Acharya, Abhishek Samanta

20202020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE)425 citationsDOI

Abstract

Before Convolutional Neural Networks gained popularity, computer recognition problems involved extracting features out of the data provided which was not adequately efficient or provided a high degree of accuracy. However in recent times, Convolutional Neural Networks have attempted to provide a higher level of efficiency and accuracy in all the fields in which it has been employed in most popular of which are Object Detection, Digit and Image Recognition. It employs a definitely algorithm of steps to follow including methods like Backpropagation, Convolutional Layers, Feature formation and Pooling. Also this article will also venture into use of various frameworks and tools that involve CNN model.

Topics & Concepts

Convolutional neural networkComputer sciencePoolingArtificial intelligenceBackpropagationFeature (linguistics)PopularityPattern recognition (psychology)Deep learningFeature extractionArtificial neural networkContextual image classificationObject (grammar)Machine learningImage (mathematics)PsychologySocial psychologyPhilosophyLinguisticsAdvanced Neural Network ApplicationsCOVID-19 diagnosis using AIBrain Tumor Detection and Classification