title: If a tensor's shape defines how many entitites are in each dimension, can a tensor's shape have a different number of entities for each dimension?
body: <p>I'm following a few tutorials to gain an understanding of tensors in TensorFlow.  I understand that rank specifies the number of dimensions a tensor is.  Now I'm curious about the term 'shapes' and I want to know if its possible or common to have one dimension with more entities than the next dimension or will the number of elements always be equal across dimensions?  </p>
  
  <p>I hope this makes sense and thank you in advance.</p>