title: Tensorflow output labels is a value in the 2D gird or locating it in the grid
body: <p>My final output should be a 2D grid that contains values for each grid point. Is there a way to implement in TensorFlow, where I can input a number of images and each image correspond to a specific point in a 2D grid? I want my model such that when I input a similar image it should result in detecting that specific grid in a 2D image. I mean that each image input image belongs to a specific area in the output image (which I divided into a grid for simplicity to make it a finite number of locations).</p>