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Image Classification Using Python and Techniques of Computer Vision and Machine Learning - Softcover
Synopsis
This book implemented six different algorithms to classify images with prediction accuracy as the primary criterion and time consumption as the secondary one. The accuracies varied between about 30% and 90%, while the time consumptions varied from several seconds to more than one hour. Considering both criteria, the Pre-Trained AlexNet Features Representation plus a Classifier, such as the k-Nearest Neighbors (KNN) and the Support Vector Machines (SVM), was concluded as the best algorithm.
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Image Classification Using Python and Techniques of Computer Vision and Machine Learning
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Image Classification Using Python and Techniques of Computer Vision and Machine Learning
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Image Classification Using Python and Techniques of Computer Vision and Machine Learning
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Image Classification Using Python and Techniques of Computer Vision and Machine Learning
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Independently Published, 2019
ISBN 10: 1796607266
ISBN 13: 9781796607260
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Image Classification Using Python and Techniques of Computer Vision and Machine Learning
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Independently published 2019-01, 2019
ISBN 10: 1796607266
ISBN 13: 9781796607260
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Image Classification Using Python and Techniques of Computer Vision and Machine Learning
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IMAGE CLASSIFICATION USING PYT
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Image Classification Using Python and Techniques of Computer Vision and Machine Learning
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