CONCEPTUAL AND COMPARATIVE ANALYSIS OF DEEP NEURAL  NETWORK (DNN) MODELS AND ITS APPLICATION IN IMAGE  RECOGNITION

Ankur Jain, Deepankar Bharadwaj

CONCEPTUAL AND COMPARATIVE ANALYSIS OF DEEP NEURAL NETWORK (DNN) MODELS AND ITS APPLICATION IN IMAGE RECOGNITION

Authors

Ankur Jain, Deepankar Bharadwaj

Keywords:

Deep neural network, Image recognition, convolutional neural network, recurrent neural network, medical images

Abstract

In the modern business and technological environment all the industries are looking to usedifferent technologies for automation process thereby they can enhance efficiency inoperations, deliver better products and services to the customers and achieve the organisational objectives in an efficient manner.

References

Ramya R, , Dinesh P S and Sathish kumar G. (2020). Comparative Study Of Deep Learning Architecture For Image Recognition. JOURNAL OF CRITICAL REVIEWS. VOL 7, ISSUE 19, 2020

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Published

2024-12-20

How to Cite

Ankur Jain, Deepankar Bharadwaj. (2024). CONCEPTUAL AND COMPARATIVE ANALYSIS OF DEEP NEURAL NETWORK (DNN) MODELS AND ITS APPLICATION IN IMAGE RECOGNITION . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2712–2723. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4442