Neural Network Programming with TensorFlow

Determinant

Determinant shows us information about the matrix that is helpful in linear equations and also helps in finding the inverse of a matrix.

For a given matrix X, the determinant is shown as follows:

The following example shows how to get a determinant using TensorFlow:

import tensorflow as tfimport numpy as npx = np.array([[10.0, 15.0, 20.0], [0.0, 1.0, 5.0], [3.0, 5.0, 7.0]], dtype=np.float32)det = tf.matrix_determinant(x)with tf.Session() as sess:    print(sess.run(det))

The output of this is shown as follows:

-15.0