tensorflow学习笔记

https://www.cnblogs.com/lienhua34/p/5998853.html

import tensorflow as tf
a = tf.constant(1)
b = tf.constant(2)
c = tf.constant(3)
d = tf.constant(4)
add1 = tf.add(a, b)
mul1 = tf.mul(b, c)
add2 = tf.add(c, d)
output = tf.add(add1, mul1)
with tf.Session() as sess:
    print sess.run(output)

# result: 9

tensorflow张量的计算也会涉及到类似numpy的broadcast机制:

各种梯度优化算法

http://ruder.io/optimizing-gradient-descent/index.html