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Convolutional Neural Networks (CNN, also called ConvNets) are a tool used for classification tasks and image recognition. The name giving first step is the extraction of features from the input data.
6
votes
1
answer
1k
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How does u-net work?
I have read this paper about U-Net.
This kind of network is quite similar to an autoencoder, in addition it has concatenations between the encoder and the decoder parts.
I would like to know the mea …
3
votes
1
answer
312
views
How does region proposal network (RPN) and R-CNN works?
I would like to know where I could find useful articles/papers about the basic concepts of RPN and R-CNN. …
3
votes
2
answers
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views
How to correctly resize input images in a CNN?
I have a training set composed of images having different width and height, I need to resize them to a fix dimension nxn or nxm before passing them as the input of a CNN. …