I came through tensor slices and tensor rank. I read a lot of material related to this but could not satisfy myself.
Can anyone explain thoroughly with the help of examples, specifically in the view of TensorFlow?
I came through tensor slices and tensor rank. I read a lot of material related to this but could not satisfy myself.
Can anyone explain thoroughly with the help of examples, specifically in the view of TensorFlow?
tf.rank
is like array.ndim
in NumPy. It's the number of dimensions. E.g., a picture has rank 3:
640, 640, 3
A batched picture dataset has rank 4:
10000, 640, 640, 3
Tabular data has rank 2:
150, 4
It's that simple. Let me know if I should add anything.