I did not quite understand the architecture of the generator mentioned in the notebook. (image in notebook)
I also did not quite understand the statement for the generator
“You may notice that instead of passing in the image dimension, you will pass the number of image channels to the generator. This is because with DCGAN, you use convolutions which don’t depend on the number of pixels on an image. However, the number of channels is important to determine the size of the filters.”
I did understand to get a image out of a noise vector we use deconvolution ( for increasing the size of the image from the low level noise)
But , I did not quite understand how we get it just by passing the number of channels.