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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
CLASS ACADEMIA ENTITY CLASSIFICATION USING CNN
Authors
K.Mahadevan, B.S.Charulatha, B.Swaminathan
Keywords
Object Detection, Deep Learning, TensorFlow, CNN, Keras
Abstract
Object recognition is the process of identifying a distinguished object in a picture or video sequence. Many different approaches of visual perception using a normal classifier or deep neural network were proposed. The objective is to implement a Convolution Neural Network for object classification. It described the innovative solution that provides efficient object detection through deep learning with convolutional neural networks (CNNs) which has achieved great success in the classification of various types of object. A variety of layer-wise visualization methods were applied using CNN, trained with a publicly available any class object given academia image dataset. So, it observed that neural networks can capture the colors and textures of objects specific to respective type which resembles human decision-making.
IJCRT's Publication Details
Unique Identification Number - IJCRT2003332
Paper ID - 192821
Page Number(s) - 2359-2366
Pubished in - Volume 8 | Issue 3 | March 2020
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
K.Mahadevan, B.S.Charulatha, B.Swaminathan, "CLASS ACADEMIA ENTITY CLASSIFICATION USING CNN", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 3, pp.2359-2366, March 2020, Available at :http://www.ijcrt.org/papers/IJCRT2003332.pdf
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Volume 12 | Issue 7
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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