Convolution Neural Network Based Image RecognitionJournal: International Journal of Science and Research (IJSR) (Vol.10, No. 2)
Publication Date: 2021-02-05
Authors : Sofia Hamid;
Page : 1673-1677
Keywords : Image processing; pooling layer; convolutional layer;
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.
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Last modified: 2021-06-26 18:30:12