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Subject = Deep Leaning;
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Critical Comparison of the Classification Ability of Deep Convolutional Neural Network Frameworks with Support Vector Machine Techniques in the Image Classification Process
(2017)
Kelly, Robert
Critical Comparison of the Classification Ability of Deep Convolutional Neural Network Frameworks with Support Vector Machine Techniques in the Image Classification Process
(2017)
Kelly, Robert
Abstract:
<p>Recently, a number of new image classification models have been developed to diversify the number of options available to prospective machine learning classifiers, such as Deep Learning. This is particularly important in the field of medical image classification as a misdiagnosis could have a severe impact on the patient. However, an assessment on the level to which a deep learning based Convolutional Neural Network can outperform a Support Vector Machine has not been discussed. In this project, the use of CNN and SVM classifiers is used on a dataset of approx. 55,000 images. This dataset was used to assess the classification potential of each methodology, in terms of training, implementation, and the ability to engineer parameters and features for successful classifications on a very large dataset. The use of CNN approaches is further broken down into the use of different frameworks, in this case Theano and Torch implementations. These are then compared to an SVM classifie...
http://arrow.dit.ie/scschcomdis/96
Displaying Results 1 - 1 of 1 on page 1 of 1
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