August 2018
Intermediate to advanced
272 pages
7h 2m
English
book
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
Content preview from Hands-On Convolutional Neural Networks with TensorFlow
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Problems
R-CNN is still computationally expensive, as you have to run a CNN on around 2,000 individual region proposals. As a result, it is very slow for both training and testing. The CNN classifier relies on the fixed number of rectangular candidate windows produced by selective search for detection. This method is not the fastest around and as proposal regions are not learned from the training data, they are probably not optimal for the task.
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