Transposed Convolution

Transposed convolution is commonly used in image generation, segmentation, and decoder structures to increase spatial resolution. Although it can be thought of as analogous to the reverse of standard convolution, it is not a true mathematical inverse. Its main advantage is that it provides learnable upsampling, but some configurations can create checkerboard-like artifacts. Careful kernel and stride choices are therefore important.