Questions tagged [pooling]
The pooling tag has no usage guidance.
10
questions
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26 views
using maxpool before 1x1 conv in inception module
there is a model described here (fig 3 page 52, also used in CNN course by Andrew ng) which used to build an inception model.
for reducing the cost of convolutional layers, it used a 1x1 conv layer ...
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0answers
16 views
What is dropout in convolutional layers and how does that different from max-pooling-dropout?
When dropout is applied to fully connected layers some nodes will be randomly set to 0.
It is unclear to me how dropout work with convolutional layers. If dropout is applied before the convolutions, ...
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0answers
13 views
The idea behind Generalized Max Pooling
I am trying to understand the idea of "Generalized Max Pooling". It seems they try to make the 'pooled' representation similar to the features. If so I feel some rare discriminating features could ...
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vote
1answer
20 views
How gradients are learned for pooling layers in Convolution Neural Network?
Assuming we could compute a layerwise Hessian of the error function when training a
neural network, the error sub-surface of pooling layers will be flat.??
Is that correct?
There is no weights to be ...
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15 views
Batch Normalization when CNN with only 2 ConvLayer?
I wonder if it is a problem to use BatchNormalization when there are only 2 convolutional layers in a CNN. Can this have adverse effects on classification performance? Now I don't mean the training ...
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2answers
900 views
What's the purpose of padding with Maxpooling?
As mentioned in the question, i've noticed that sometimes there are pooling layers with padding.
More specifically, I found this Keras tutorial, where there's a net which contains ...
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63 views
Definition of “repooling” in YOLACT paper
In the latest YOLACT paper found HERE I see the term "repooling" in this part and others:
Moreover, we obtain this result after training on only one GPU. We
accomplish this by breaking instance ...
3
votes
3answers
114 views
Real purpose of pooling
Recently I had a doubt as to what is the real purpose of pooling layers in neural networks is? The most common answer is
To select the most important feature
To increase the receptive field of the ...
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vote
1answer
61 views
How is the output of a maxpool layer window size=1x2 and stride=2 calculated?
I'm looking at the architecture proposed in the following paper: Baoguang Shi et al, An End-to-End Trainable Neural Network for Image-based Sequence
Recognition and Its Application to Scene Text ...
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63 views
The effect of removing pooling layers in the model's accuracy
I know that removing pooling layers will lead to an increase in dimensionality and subsequently, make the training to be more time-consuming. But I'm wondering if ...
