INNER CODE UNIT · Python

D

nfmcclure/tensorflow_cookbook · 01_Introduction/04_Working_with_Matrices/04_matrices.py:34

D = tf.convert_to_tensor(np.array([[1., 2., 3.], [-3., -7., -1.], [0., 5., -2.]]))
print(sess.run(D))

# Matrix addition/subtraction
print(sess.run(A+B))
print(sess.run(B-B))

# Matrix Multiplication
print(sess.run(tf.matmul(B, identity_matrix)))

# Matrix Transpose
print(sess.run(tf.transpose(C))) # Again, new random variables

# Matrix Determinant
print(sess.run(tf.matrix_determinant(D)))

# Matrix Inverse
print(sess.run(tf.matrix_inverse(D)))

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