<p>This paper contains some formulas that relate convolutional layer parameters to input and output shapes: <a href="https://arxiv.org/pdf/1603.07285.pdf" rel="nofollow noreferrer">A guide to convolution arithmetic for deep
learning</a></p>
Transposed Convolution 2D parameter choice
<p>I'd like to generate an image of size (176,132), from a (60,1) Vector. </p>

<p>I don't know how to choose the Stride, Kernels, Padding and output paddings to best fit my problem... Is there any online resource that could help ?</p>

<p>I believe stacking a few TransposedConvolution2D layers helps, but how do each layer's parameters relate to each other ? Should they go increasing or decreasing ?</p>

<p>Thanks a lot !</p>