Multi-dimensional Fourier transformations in convolutional neural networks — Convolutional neural networks (CNNs) are widely spread these days. Regardless of their success, convolutions are inefficient. The sliding window requires many computations and limits the size of the kernel. At the same time, a small kernel, typically between [3,3] to [7,7], limits the perceptive field and many layers are required…