International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 42

Research Paper | Computer Science & Engineering | India | Volume 10 Issue 2, February 2021

Convolution Neural Network Based Image Recognition

Sofia Hamid, Mrigana Walia

The identification of an image is one thorny task in computer vision problems. Using the python programming language and a few other machine learning algorithms and python libraries, this image recognition and feature extraction can be achieved. In pattern- and image-recognition problems, convolutionary neural networks (CNNs) are commonly used as they have a range of benefits compared to other techniques. The basics of CNNs are covered in this document, including a description of the different layers used. In this paper, we presented a model for cat and dog image recognition from the Convolutionary Neural Network (CNN). Before feeding it to the CNN model, the cat and dog dataset is pre-processed.

Keywords: Image processing, pooling layer, convolutional layer, Deep Learning, Tensor flow etc

Edition: Volume 10 Issue 2, February 2021

Pages: 1673 - 1677

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How to Cite this Article?

Sofia Hamid, Mrigana Walia, "Convolution Neural Network Based Image Recognition", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SR21225214136, Volume 10 Issue 2, February 2021, 1673 - 1677

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