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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Comparison of Full Training and Transfer Learning in Deep Learning for Image Classification Subject The topic of the resource Deep learning; Full training; Image classification; Transfer learning Description An account of the resource The deep learning algorithms on a small dataset are often not efficient for image classification problems. Make use of the features learned by a model trained on large similar dataset and saved for future reference is a method to solve this problem. In this work, we present a comparison of full training and transfer learning for image classification using Deep Learning. Three different deep learning architectures namely MobileNetV2, InceptionV3 and VGG16 were used for this experiment. Transfer learning showed higher accuracy and less loss than full-training. According to transfer learning results, MobileNetV2 model achieved 98.96%, InceptionV3 model achieved 98.44% and VGG16 model achieved 97.405 as highest test accuracies. The full-trained models did not achieve as much accuracy as that of transfer learning models on the same dataset. The accuracies achieved by full-training for MobileNetV2, InceptionV3 and VGG16 are 79.08%, 73.44% and 75.62% respectively. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Cyriac S.; Raju N.; Ramaswamy S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-290, pp. 58-67. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-4486-3_6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-4486-3_6</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115096089&amp;doi=10.1007%2F978-981-16-4486-3_6&amp;partnerID=40&amp;md5=bfde80a3a10871d099b82789ff794b09" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115096089&amp;doi=10.1007%2f978-981-16-4486-3_6&amp;partnerID=40&amp;md5=bfde80a3a10871d099b82789ff794b09</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981164485-6 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Cyriac S., Centre for Digital Innovation, CHRIST (Deemed To Be University), Bangalore, India; Raju N., Centre for Digital Innovation, CHRIST (Deemed To Be University), Bangalore, India; Ramaswamy S., Department of Computer Science, CHRIST (Deemed To Be University), Bangalore, India