Journal of Innovation in Computer Science and Engineering
  • Year: 2021
  • Volume: 10
  • Issue: 2

Implementation of convolutional neural networks based image classification

  • Author:
  • S Sridhar1, Hanisha Kottapalli1, Yamuna Koli1, Sai Ganesh Koyyana1
  • Total Page Count: 4
  • Page Number: 36 to 39

1Department of Electronics and Communication, Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh, India

*E-mail: sridhar.vskp@gmail.com

**hanishakottapalli05@gmail.com

***yamuna.7093059848@gmail.com

****saiganesh83744@gmail.com

Online published on 04 December, 2021.

Abstract

The implementation of a CNN is a category of deep learning. CNN plays a major role in image recognition. In the process of image classification, the network is given input and outputting a class or a presumption that to which class does the input belongs to. Due to its great accuracy, the CNN model is used for image classification. The CNN stick to a technic that is nothing but the hierarchal model which consists of a network, finally it is given to the fully connected layer. It contains neurons, these are connected to the neighboring neurons. The major applications of neural networks are sales forecasting, text classification, information extraction, customer research, data validation, and risk management.

Keywords

Image Processing, Image Classification, Deep Learning, CNN