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Journal of Artificial Intelligence and Capsule Networks

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Volume - 1 | Issue - 1 | september 2019

COMPARATIVE STUDY OF CAPSULE NEURAL NETWORK IN VARIOUS APPLICATIONS
Dr. T. Vijayakumar  269  183
Pages: 19-27
Cite this article
Vijayakumar, D. T. (2019). COMPARATIVE STUDY OF CAPSULE NEURAL NETWORK IN VARIOUS APPLICATIONS. Journal of Artificial Intelligence and Capsule Networks, 1(1), 19-27. doi:10.36548/jaicn.2019.1.003
Published
September, 2019
Abstract

The advancement in the machine learning and the computer vision has caused several improvements and development in numerous of domains. Capsule neural networks are one such machine learning system that imitates the neural system and develops the structures based on the hierarchical relationships. It does the inverse operation of the computer graphic in representing an object by, segregating the object in the image into different part and viewing the in-existing relationship between the each parts to represent in order to preserve even the minute details related to the object, unlike CNN that losses major of the information's related to the spatial location of the object that are essential in the segmentation and the detection. So the paper presents the comparative study of the capsule neural network in various application, presenting the efficiency of the capsules networks over the convolutional neural networks.

Keywords

capsule neural network convolutional neural network computer vision machine learning applications

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