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Results tagged with convolutional-neural-networks
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user 42699
For questions about convolutional neural networks, also known as CNN or ConvNet.
1
vote
Is there anything that ensures that convolutional filters end up different from one another?
Yes, your thought experiment is correct, and the concept is known as breaking the symmetry. This is why biases can be initialized to $0$ (bias initialization doesn't matter), but weights should be ran …
- 1,690
0
votes
Accepted
Can a convolutional neural network classify text document images?
Yes, it is possible, CNNs can also be used for OCR (see the MNIST task and this blog), although it's not the common way for OCR because it is considered a bit overkill and inefficient. Furthermore, OC …
- 1,690
6
votes
Is there anything that ensures that convolutional filters don't end up the same?
No, nothing really prevents the weights from being different. In practice though they end up almost always different because it makes the model more expressive (i.e. more powerful), so gradient descen …
- 1,690
0
votes
What's the difference between architectures and backbones?
The vocabulary is definitely non-standard and a bit confusing, but Feature Pyramid Networks is used as a feature extractor, and its output is then fed into EfficientNet-B2 to be used to classify the i …
- 1,690