Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Exploratory Architectures Analysis of Various Pre-trained Image Classification Models for Deep Learning Subject The topic of the resource deep learning; image classification; neural network Description An account of the resource The image classification is one of the significant applications in the area of Deep Learning (DL) with respective to various sectors. Different types of neural network architectures are available to perform the image classification and each of which produces the different accuracy. The dataset and the features used are influence the outcome of the model. The research community is working towards the generalized model at least to the domain specific. On this gesture the contemporary survey of various Deep Learning models is identified using knowledge information management methods to move further to provide optimal architecture and also to generalized Deep Learning model to classify images narrow down to the sector specific. The study systematically presents the different types of architecture, its variants, layers and parameters used for each version of Deep Learning model. Domain specific applications and limitations of the type of architecture are detailed. It helps the researchers to select appropriate Deep Learning architecture for specific sector. 2024 by the authors. Creator An entity primarily responsible for making the resource Deepa S.; Zeema J.L.; Gokila S. Source A related resource from which the described resource is derived Journal of Advances in Information Technology, Vol-15, No. 1, pp. 66-78. Publisher An entity responsible for making the resource available Engineering and Technology Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.12720/jait.15.1.66-78" target="_blank" rel="noreferrer noopener">https://doi.org/10.12720/jait.15.1.66-78</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183348264&amp;doi=10.12720%2Fjait.15.1.66-78&amp;partnerID=40&amp;md5=835724298bb9f8c31d2fdd872094d8e3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183348264&amp;doi=10.12720%2fjait.15.1.66-78&amp;partnerID=40&amp;md5=835724298bb9f8c31d2fdd872094d8e3</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 17982340 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Deepa S., Department of Computer Science, Christ University, Bangalore, India; Zeema J.L., Department of Computer Science, Christ University, Bangalore, India; Gokila S., Department of Computer Applications, Hindustan Institute of Technology and Science, Chennai, India