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.

--

--

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store