October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Improvements in object detection models
Object detection and classification has been the subject of study for quite some time. The models that have been used build on the great success of previous researchers. A brief summary of progress history starts by highlighting the computer vision model called Histogram of Oriented Gradients (HOG) features that was developed by Navneet Dalal and Bill Triggs in 2005.
HOG features were fast and performed well. Interest in deep learning and the great success of CNNs that were more accurate classifiers due to their deep networks. But the problem was that the CNNs of the time were too slow in comparison.
The solution was to take advantage of the CNNs, improved classification capabilities and improve their ...
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