Questions tagged [transpose-convolution]

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How to implement the deconv which is used in “Visualizing and Understanding Convolutional Networks”

I'm trying to understand the deconv referenced in the paper Visualizing and Understanding Convolutional Networks The paper states (section 2, p. 3): the deconvnet uses transposed versions of the same ...
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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 ...
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Concrete example of how transposed convolutions are able to *add* features to an image

Say we have a simple gray scale image. If we use a filter which is just the 3x3 identity matrix (or more pointedly the identity matrix but with -1 instead of the 0 entries), it is fairly easy to see ...
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Studying the speech-generation model and have question about the confusing nature of model input and outputs

I am currently studying this model speech generation known as WaveNet model by Google. https://arxiv.org/pdf/1609.03499.pdf using the linked original paper and this implementation. I find the model ...
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Transpose convolution in TiF-GAN: How does “same” padding works?

This question should be quite generic but I faced the problem in the case of the TiF-GAN generator so I am going to use it as an example. (Link to paper) If you check the penultimate page in the ...