Hi!, I’d like to know if there’s some difference between these two functions. I thought ConvTranspose3d was the inverse of MaxPool3d but now I saw that there is also MaxUnpool3d, so Wich one should I apply?
I want to implement a variation of the 3D U-net model.
I’m speaking about the up yellow arrows of the model above (3D U-net model)
ConvTranspose3d have learnable parameters, whereas
Conv Transpose is the inverse of Conv, it works somehow like a convolution, while maxunpool only repeats your pixels to achieve the right output shape. Rather than maxunpool I would use torch.nn.interpolate if you dont want some trainable parameters and conv transpose if you want some