Understanding Image Classification Using TensorFlow Deep Learning - Convolution Neural Network-Reference-Cited by-同舟云学术

Understanding Image Classification Using TensorFlow Deep Learning - Convolution Neural Network

Published:2019-07 Issue:2 Volume:3 Page:19-37
ISSN:2473-4365
Container-title:International Journal of Hyperconnectivity and the Internet of Things
language:en
Short-container-title:

Author:

Gunjan Vinit Kumar¹^ORCID,Pathak Rashmi²,Singh Omveer³

Affiliation:

1. CMR Institute of Technology, Hyderabad, India

2. Reckitt Benckiser Healthcare India Private Limited, Hyderabad , India

3. Sharda University, Delhi NCR, India

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.

Publisher

IGI Global

Reference21 articles.

1. PCANet: A Simple Deep Learning Baseline for Image Classification?

2. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

3. Cireşan, D., Meier, U., & Schmidhuber, J. (2012). Multi-column deep neural networks for image classification.

4. Deep convolutional neural networks for hyperspectral image classification.;W.Hu;Journal of Sensors,2015

5. Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems (pp. 1097-1105). ACM.

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