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Convolutional Neural Networks are a type of neural network in which only subsets of possible connections between layers exist to create overlapping regions. They are commonly used for visual tasks.
8
votes
1
answer
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Why is ReLU setting negative values to zero particularly?
I want to understand the logic behind keeping ReLU as $max(0,x)$ and not $min(0,x)$?
Why do we prefer positive inputs over the negative ones?
6
votes
4
answers
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Why does locally connected layer work in convolutional neural network?
Locally connected pixels are highly correlated in images. In machine learning, using SVM or other classifiers we would want our features to be as unrelated as possible.
However, in CNNs why do we wa …