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Understanding Image Classification Using TensorFlow Deep Learning - Convolution Neural Network

Understanding Image Classification Using TensorFlow Deep Learning - Convolution Neural Network

Vinit Kumar Gunjan, Rashmi Pathak, Omveer Singh
Copyright: © 2019 |Volume: 3 |Issue: 2 |Pages: 19
ISSN: 2473-4365|EISSN: 2473-4373|EISBN13: 9781522568872|DOI: 10.4018/IJHIoT.2019070103
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MLA

Gunjan, Vinit Kumar, et al. "Understanding Image Classification Using TensorFlow Deep Learning - Convolution Neural Network." IJHIOT vol.3, no.2 2019: pp.19-37. http://doi.org/10.4018/IJHIoT.2019070103

APA

Gunjan, V. K., Pathak, R., & Singh, O. (2019). Understanding Image Classification Using TensorFlow Deep Learning - Convolution Neural Network. International Journal of Hyperconnectivity and the Internet of Things (IJHIoT), 3(2), 19-37. http://doi.org/10.4018/IJHIoT.2019070103

Chicago

Gunjan, Vinit Kumar, Rashmi Pathak, and Omveer Singh. "Understanding Image Classification Using TensorFlow Deep Learning - Convolution Neural Network," International Journal of Hyperconnectivity and the Internet of Things (IJHIoT) 3, no.2: 19-37. http://doi.org/10.4018/IJHIoT.2019070103

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Abstract

This article describes how to establish the neural network technique for various image groupings in a convolution neural network (CNN) training. In addition, it also suggests initial classification results using CNN learning characteristics and classification of images from different categories. To determine the correct architecture, we explore a transfer learning technique, called Fine-Tuning of Deep Learning Technology, a dataset used to provide solutions for individually classified image-classes.

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