It’s hard to visualize things in more than 3 dimensions, of course. Here’s a thread that shows some relevant examples about how to flatten 3D and 4D image arrays into vectors and matrices that we can deal with using our Neural Networks.
Of course here in Course 4 we are learning about neural networks that can take more than 2 dimensional objects as input without first “flattening” them.