• Aastha Valecha

Over the past few decades, deep neural networks and artificial neural networks(ANN) have been one of the most powerful tools for solving problems in real life. It has become prevalent these days because of its ability to handle a massive amount of data. It is interesting to see its implications in the field of data handling, especially pattern recognition. One of the most valuable tools in working with visual data is Convolutional Neural Networks. CNN has shown excellent performance in machine learning problems. In this paper, we will look at the crucial elements of CNN and how they work. We will also look at the practical application of CNN in object identification. This paper also lists the shortcomings and the prospects of the CNN model.

CNN, Object Classification, Convolution, image processing

"A Review On Convolutional Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.f423-f427, July-2021, Available :http://www.jetir.org/papers/JETIR2107684.pdf

"A Review On Convolutional Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppf423-f427, July-2021, Available at : http://www.jetir.org/papers/JETIR2107684.pdf