• M.Satya Vijaya
• Nekkalapu.Pujitha
• Kurapati.Satyapriya
• Vutla.Nandini
• Kakarla.Sirisha

Deep learning technologies have been very beneficial to artificial intelligence in the last few years, especially in the fields of object recognition ,pattern recognition, and image processing .Currently presented artificial neural networks and optimization strategies have been effectively used to develop large-scale deep learning neural networks with better performance and wider network widths. Network design, training methods, and training data sets are only a few examples of the components that are assisting in enhancing network performance as a result of the current techniques for deep learning. In the domains of detecting objects and picture segmentation, this study provides a comprehensive examination of different popular networks along with an overview and comparison with current deep learning models. Most of the algorithms cited in the current research are well-established and effectively used in both academia and industry .In addition to the developments in deep learning techniques and algorithms, the production of huge data sets and the tools needed to enable them have also been studied and shown recently. Image categorization is a classic problem in the fields of computer vision, machine learning ,and image processing. The process of classifying photographs is complex and dependent on multiple elements. In this work, we study photo classification using deep learning .Computer vision research, picture classification methods, and deep neural networks are discussed. This article describes the construction of a convolutional neural network (CNN) including its various designs.

Computer Vision, Deep Learning ,Image classification, object detection, convolutional neural network.

"DEEP LEARNING APPROACHES FOR IMAGE RECOGNITION AND CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 10, page no.26-35, October-2024, Available :http://www.jetir.org/papers/JETIRGN06004.pdf

"DEEP LEARNING APPROACHES FOR IMAGE RECOGNITION AND CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 10, page no. pp26-35, October-2024, Available at : http://www.jetir.org/papers/JETIRGN06004.pdf