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15:22
YouTube
Everything Deep Learning
Densenet architecture
The problems arise with CNNs when they go deeper. This is because the path for information from the input layer until the output layer (and for the gradient in the opposite direction) becomes so big, that they can get vanished before reaching the other side. The authors solve the problem ensuring maximum information (and gradient) flow. To do ...
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