Tensor Shapes
Summary
Mainly, we will talk about following data types
- Scalar
- Vector
- Multi-Dimensional (Matrix)
Content
Scalar
- Creating a scalar
tf.constant(7)
# <tf.Tensor: shape=(), dtype=int32, numpy=7>
Vector
- Creating a vector
tf.constant([1, 2, 3])
# <tf.Tensor: shape=(3,), dtype=int32, numpy=array([1, 2, 3], dtype=int32)>
Matrix
- Creating a matrix
tf.constant([
[1, 2, 3],
[4, 5, 6],
[7, 8, 9],
])
''
<tf.Tensor: shape=(3, 3), dtype=int32, numpy=
array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]], dtype=int32)>
''