ANALYTICAL STUDY OF IMAGE CLASSSIFICATION USING DEEP LEARNING

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Published: Apr 20, 2018
DOI: https://doi.org/10.26483/ijarcs.v9i2.5802
Keywords:
Convolutional Neural Networks, Deep Learning, Neural Networks

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salihah yousuf
Jamia Hamdard University, New Delhi, 110062

Abstract

The machine learning technology has received increased attention in recent years in several vision tasks such as image classification, image detection, and image recognition. In particular, recent advances of machine learning techniques bring encouragement to image classification with convolutional neural networks. CNN has been established as a powerful class of models for image recognition problems and even in some cases they outperform humans. The main purpose of the work presented in this paper is the rise and development of machine learning, deep learning, CNN and to give an overview on using machine learning for image classification. At the end the comparison of CNN with traditional method is discussed.

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Vol. 9 No. 2 (2018): March-April 2018
Section
Articles

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Author Biography

salihah yousuf, Jamia Hamdard University, New Delhi, 110062

Student of M.tech computer science engineering.

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