Computer Vision: Upsampling2D & Conv2DTranspose layers in TensorFlow
A Basic Introduction
Upsampling means increase the dimensions of an image. It is used in decoders of segmentation algorithms, creating an image of a random vector sample with GANs and improving an image’s quality, etc. The up-sampling technique increases the resolution as well as the size of the image.
There are two ways of upsampling. Either we scale the original image up, or we use something called Transpose convolution/deconvolution.