TensorFlow编程训练2

Session的两种使用方式，以矩阵相乘为例。

方式1

import tensorflow as tf

matrix1 = tf.constant([[3, 3]])
matrix2 = tf.constant([[2], [2]])

product = tf.matmul(matrix1, matrix2)

sess = tf.Session()
result = sess.run(product)
print(result)
sess.close()

方式2

import tensorflow as tf

matrix1 = tf.constant([[3, 3]])
matrix2 = tf.constant([[2], [2]])

product = tf.matmul(matrix1, matrix2)

with tf.Session() as sess:
    result = sess.run(product)
    print(result)