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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Deep Convolutional Neural Network (DCNN) Models for Image Recognition: A Review |
| Authors Name: | Fatin A. Hamadain , Abdalla A. Osman , Ahmed Abdelrahman Mohamed Hamed |
| Unique Id: | IJSDR2308073 |
| Published In: | Volume 8 Issue 8, August-2023 |
| Abstract: | The application of the artificial intelligence technique known as deep learning, which is a form of machine learning inspired by the structure and function of the brain, has had some success in the processing and analysis of visual media. The convolutional neural networks (CNNs) are one type of deep neural network that are typically utilized for image processing, particularly for images recognition and object classification. The requirement to construct a network in which neurons in the first layer extracted local visual features and neurons in the later layers combined these features to form higher-order features served as the primary impetus for the development of CNNs. Image recognition is the process of recognizing an image and assigning it to one of a set of categories. Image recognition can also be referred to as image classification. As a result, apps and software that utilize image recognition are able to ascertain what the subject matter of a photograph is and recognize its various components. Within this scope, this study investigates, analyzes, and reviews several deep convolutions neural network (DCNN) models that are designed specifically for these kinds of tasks. |
| Keywords: | Image recognition, object detection, deep learning, convolutional neural network, DCNN models. |
| Cite Article: | "Deep Convolutional Neural Network (DCNN) Models for Image Recognition: A Review", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 8, page no.505 - 514, August-2023, Available :http://www.ijsdr.org/papers/IJSDR2308073.pdf |
| Downloads: | 000338720 |
| Publication Details: | Published Paper ID: IJSDR2308073 Registration ID:208184 Published In: Volume 8 Issue 8, August-2023 DOI (Digital Object Identifier): Page No: 505 - 514 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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