Classifying multi-category images using Convolution neural network - Ganguly, Gopi Bondhu;Dawn, Indrajit;Chakraborty, Koyel
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In recent year, with the speedy development in the digital contents identification, automatic classification of the images became most challenging task in the fields of computer vision. Automatic understanding and analysing of images by system is difficult as compared to human visions. Several research have been done to overcome problem in existing classification system, but the output was narrowed only to low level image primitives. However, those approach lack with accurate classification of images. In this paper, our system uses deep learning algorithm to achieve the expected results in the…mehr

Produktbeschreibung
In recent year, with the speedy development in the digital contents identification, automatic classification of the images became most challenging task in the fields of computer vision. Automatic understanding and analysing of images by system is difficult as compared to human visions. Several research have been done to overcome problem in existing classification system, but the output was narrowed only to low level image primitives. However, those approach lack with accurate classification of images. In this paper, our system uses deep learning algorithm to achieve the expected results in the area like computer visions. Our system present Convolutional Neural Network (CNN), a machine learning algorithm being used for automatic classification the images.
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Autorenporträt
Mr. Gopi Bondhu Ganguly, Faculty of Master of Computer Application at Regent Education and Research Foundation, Group of Institutions .M.Tech(CSE),B.Tech(CSE)