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Image Classification Using Python and Techniques of Computer Vision and Machine Learning - Computer Vision and Machine Learning Mark Magic
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Image Classification Using Python and Techniques of Computer Vision and Machine Learning - Computer Vision and Machine Learning
Mark Magic
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.
116 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | January 29, 2019 |
| ISBN13 | 9781796607260 |
| Publishers | Independently Published |
| Pages | 116 |
| Dimensions | 152 × 229 × 6 mm · 163 g |
| Language | English |
| Editor | Magic, John |
