Comparative Study of Convolutional Neural Networks

International Journal of Electronics and Communication Engineering
© 2019 by SSRG - IJECE Journal
Volume 6 Issue 8
Year of Publication : 2019
Authors : Sagnik M, Ramaprasad P
How to Cite?

Sagnik M, Ramaprasad P, "Comparative Study of Convolutional Neural Networks," SSRG International Journal of Electronics and Communication Engineering, vol. 6,  no. 8, pp. 18-21, 2019. Crossref,


Artificial Neural Networks have changed the way any computer works. Starting from machine learning, we have now come a long way where detection of faces, data representations. have now come up to a stage that an observer can exclaim that the machine is “perfect”. However, a field where we still have research going on and is becoming efficient daily is mobile phones. Researchers have targeted convolutional neural networks (CNN), a branch of deep learning, for building neural network models that can execute on mobile phones. An emerging player in this field is the MnasNet, which was developed by Google’s brain team.
In this review paper, details about MnasNet’s facilities shall be discussed, it is advantages, and also how it fairs against various other CNN models by Google, Apple. Furthermore lastly, where next to the researchers will be looking into and the areas where the MnasNet might have to improve.


Artificial Neural Network, Convolutional Neural Network, Machine Learning,


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