Tetrachrome/subpixel

Here we propose a reimplementation of their method and discuss future applications of the technology. Convolutional neural networks (CNN) are now standard neural network layers for computer vision. Transposed convolutions (sometimes referred to as deconvolution) are the GRADIENTS of a convolutional layer. Transposed convolutions were, as far as we know first used by Zeiler and Fergus [2] for visualization purposes while improving their AlexNet model. For visualization purposes let us check out that convolutions in the present subject are a sequence of inner product of a given filter (or kernel) with pieces of a larger image.