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

Convolution Neural Network Based Image Recognition

Sofia Hamid | Mrigana Walia ^[3]

Abstract: 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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