title: Intuitive understanding of 1D, 2D, and 3D convolutions in convolutional neural networks
body: <p>Can anyone please clearly explain the difference between 1D, 2D, and 3D convolutions in convolutional neural networks (in deep learning) with the use of examples?</p>