All Questions
Tagged with hyper-parameters convolutional-neural-networks
8 questions
2
votes
1
answer
864
views
Is it a good idea to use different width and height of the kernel in a CNN?
I always see that the width and height of the kernel are the same. But is it a good idea to use different numbers?
Recently I tried to use GoogLeNet (which expects images to be 224x224) on my images (...
user40943
2
votes
0
answers
271
views
How will the filter size affect the transpose convolution operation?
After a series of convolutions, I am up-sampling a compressed representation, I was curious what is the methodology I should follow to choose an optimum kernel size for up-sampling.
How will the ...
- 51
3
votes
1
answer
1k
views
What is the intuition behind the number of filters/channels for each convolutional layer?
After having chosen the number of layers for a convolutional neural network, we must also choose the number of filters/channels for each convolutional layer.
The intuition behind the filter's spatial ...
- 33
3
votes
0
answers
191
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How can I do hyperparameter optimization for a CNN-LSTM neural network?
I have built a CNN-LSTM neural network with 2 inputs and 2 outputs in Keras. I trained the network with model.fit_generator() (and not ...
- 31
2
votes
0
answers
73
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Which CNN hyper-parameters are most sensitive to centered versus off centered data?
Which hyper-parameters of a convolutional neural network are likely to be the most sensitive to depending on whether the training (and test and inference) data involves only accurately centered images ...
- 121
5
votes
1
answer
2k
views
How many weights does the max-pooling layer have?
How many weights does the max-pooling layer have?
For example, if there are 10 inputs, a pooling filter of size 2, stride 2, how many weights, including bias, does a max-pooling layer have?
- 53
4
votes
1
answer
749
views
Why is the number of output channels 16 in the hidden layer of this CNN?
In this tutorial from Jeremy Howard: What is torch.nn really? he has an example towards the end where he creates a CNN for MNIST. In nn.Conv2d, he makes the ...
- 183
7
votes
2
answers
7k
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How do we choose the kernel size depending on the problem?
Obviously, finding suitable hyper-parameters for a neural network is a complex task and problem or domain-specific. However, there should be at least some "rules" that hold most times for the size of ...
- 286