Questions tagged [transpose-convolution]
7 questions
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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 filter (or kernel) size affect the transpose…
Vortex
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Visualization of Transposed Convolutions
After reading on Transposed Convolutions and Fully Convolutional Networks in the d2l book (14.10 and 14.11), I wondered about the visualization of transposed convolutions.
As you probably know, randomly initialized convolutional kernels learn to…
Mathy
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CFD Reinforcement Learning Topology optimization wind tunnel
I want to create a reinforcement learning environment, designed for win tunnel simulations, where for each iteration a deep convolutional model could receive the 3D vector/scalar fields from the past simulation and output a better shape that…
C. Tatu
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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 how applying this filter with stride length 1 and…
basket
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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 paper you can find the architecture design of the…
MattSt
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Is a Conv2DTranspose the same as a full convolution?
I am currently creating a GAN model from scratch (following this tutorial: https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-an-mnist-handwritten-digits-from-scratch-in-keras/) but I can't find out how to…
Sean Mabli
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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 using the linked original paper and this implementation.
I find the model very confusing in the input it takes and the output it generates, and some of the layer…
Joe Black
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