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Results tagged with neural-networks
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user 128472
Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
2
votes
How does ResNet or CNN with skip connections solve the gradient exploding problem?
I'm not 100% sure, but I would guess that this is more referring to normalization like BatchNorm rather than skip connections. It's not like ResNets will not explode without any normalization and not …
- 391
20
votes
How does rectilinear activation function solve the vanishing gradient problem in neural netw...
This is why it's probably a better idea to use PReLU, ELU, or other leaky ReLU-like activations which don't just die off to 0, but which fall to something like 0.1*x when x gets negative to keep learn …
- 391
7
votes
1
answer
7k
views
Is there any point in using MSE loss in modern deep neural networks?
Is there any point in using MSE loss -- (a-b)^2 instead of L1 loss -- abs(a-b) in modern DNN/CNN architectures which use ReLU/ReLU-like activations? If so, why?
- 391