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Published in:

Volume 7 Issue 7
July-2020
eISSN: 2349-5162

Unique Identifier

JETIR2007071

Page Number

604-608

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Title

Convolution Neural Networks in Image Processing

ISSN

2349-5162

Cite This Article

"Convolution Neural Networks in Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.604-608, July-2020, Available :http://www.jetir.org/papers/JETIR2007071.pdf

Abstract

Convolutional Neural Network (CNN) is subset of artificial neural networks. It has become prominent in many computer vision applications. CNN is designed in such a way that it should learn automatically. Spatial hierarchies of features are used in algorithms through backpropagation by using multiple building blocks such as convolution layers, pooling layers, and fully connected layers. This article offers a perspective on the basic concepts of CNN and its applications in image processing domain. Convolution neural network have been successful in identifying faces, objects and traffic signs apart from powering vision in robots and self-driving cars. CNN provides a very exciting alternatives and other application which can play important role in today's computer science field. There are some Limitations also which are mentioned.

Key Words

Artificial Neural Network, ANN, Convolutional Neural Network, CNN, LeNet-5 Structure, AlexNet Structure, VGG-16 Structure, Inception-v.

Cite This Article

"Convolution Neural Networks in Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp604-608, July-2020, Available at : http://www.jetir.org/papers/JETIR2007071.pdf

Publication Details

Published Paper ID: JETIR2007071
Registration ID: 234981
Published In: Volume 7 | Issue 7 | Year July-2020
DOI (Digital Object Identifier):
Page No: 604-608
ISSN Number: 2349-5162

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Cite This Article

"Convolution Neural Networks in Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp604-608, July-2020, Available at : http://www.jetir.org/papers/JETIR2007071.pdf




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