NumPy Arrays NumPy - Ndarray Object NumPy - Data Types NumPy Creating and Manipulating Arrays NumPy - Array Creation Routines NumPy - Array Manipulation NumPy - Array from Existing Data NumPy - Array From Numerical Ranges NumPy - Iterating Over Array NumPy - Reshaping Arrays NumPy - Concatenating ...
To transpose a matrix and matrix multiplication eagerly, use the following: u = tf.constant([[3,4,3]]) v = tf.constant([[1,2,1]])tf.matmul(u, tf.transpose(a=v)) The output will be as follows: <tf.Tensor: id=555345, shape=(1, 1), dtype=int32, numpy=array([[14]], dtyp...
a.transpose(2,0,1) # Out: # array([[[ 0, 2], # [ 4, 6], # [ 8, 10]], # # [[ 1, 3], # [ 5, 7], # [ 9, 11]]]) a = np.arange(24).reshape((2,3,4)) # shape (2,3,4) a.transpose(2,0,1).shape # Out: # (4, 2, 3)重塑...