tf.expand dim code example
Example: tf.expand_dims
tf.expand_dims(
input, axis, name=None
)
Given a tensor input, this operation inserts a dimension of size 1
at the dimension index axis of input's shape. The dimension index
axis starts at zero; if you specify a negative number for axis it is
counted backward from the end.
This operation is useful if you want to add a batch dimension to a
single element. For example, if you have a single image of shape
[height, width, channels], you can make it a batch of one image with
expand_dims(image, 0), which will make the shape
[1, height, width, channels].