《TensorFlow实战~》TF简易说明代码

TensorFlow实战Google深度学习框架 charpter3

import tensorflow as tf

# 设置随机数种子seed
w1 = tf.Variable(tf.random_normal([2, 3], stddev=1, seed=1))
w2 = tf.Variable(tf.random_normal([3, 1], stddev=1, seed=1))

x = tf.constant([[0.7, 0.9]])

# 最简单的两层神经网络
a = tf.matmul(x, w1)
y = tf.matmul(a, w2)

sess = tf.Session()
# 初始化
sess.run(w1.initializer)
sess.run(w2.initializer)

print(sess.run(y))

sess.close()

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