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Results tagged with deep-learning
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user 10569
For questions related to deep learning, which refers to a subset of machine learning methods based on artificial neural networks (ANNs) with multiple hidden layers. The adjective deep thus refers to the number of layers of the ANNs. The expression deep learning was apparently introduced (although not in the context of machine learning or ANNs) in 1986 by Rina Dechter in the paper "Learning while searching in constraint-satisfaction-problems".
1
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0
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Sample from a distribution inside a NN layer
Is it possible to sample from a distribution inside a neural network forward function? Assume that there is a NN and a sample is needed to be derived from it at every forward-pass to randomly set a la …
- 331
3
votes
1
answer
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What's the definition of "singularity" in the context of neural networks?
The paper Skip connections eliminate singularities explains the use of skip connections to break the singularity in deep networks, but I have not fully understood what a singularity is.
Any easy-under …
- 331
4
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2
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Why is no activation function used at the final layer of super-resolution models?
I'm trying to implement some image super-resolution models on medical images. After reading a set of papers, I found that none of the existing models use any activation function for the last layer.
Wh …
- 331