[PYTHON/TENSORFLOW] matrix_determinant 함수 : 행렬식 값 구하기

icodebroker TENSORFLOW 2024-06-18

■ matrix_determinant 함수를 사용해 행렬식 값을 구하는 방법을 보여준다.

▶ 예제 코드 (PY)


import numpy as np
import tensorflow as tf

ndarray = np.array([(2, 7, 2), (1, 4, 2), (9, 0, 2)], dtype = 'float32')

tensor = tf.matrix_determinant(ndarray)

with tf.Session() as sess:
    print(sess.run(tensor))

[결과]

55.999992

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import numpy as np

import tensorflow as tf

ndarray = np.array([(2, 7, 2), (1, 4, 2), (9, 0, 2)], dtype = 'float32')

tensor = tf.matrix_determinant(ndarray)

with tf.Session() as sess:

print(sess.run(tensor))

[결과]

55.999992

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[PYTHON/TENSORFLOW] matrix_determinant 함수 : 행렬식 값 구하기

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