November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Limitations of capsule networks
While capsule networks are great and they address the core issues of convolutional neural networks, they still have a long way to go. Some of the limitations of capsule networks are as follows:
- The network has not been tested on large datasets like ImageNet. This puts a question mark on their ability to perform well on large datasets.
- The algorithm is slow, mainly due to the inner loop of the dynamic routing algorithm. The number of iterations can be fairly large for large datasets.
- Capsule networks definitely have higher complexity in implementation compared to CNNs.
It would be interesting to see how the deep learning community addresses the limitations of capsule networks.
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