Deep-Learning-with-TensorFlow-book第一章例程——autograd.py

运行环境

Spyder4.0+Python3.7

来源

https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book。

代码

import tensorflow as tf 

# 创建4个张量
a = tf.constant(1.)
b = tf.constant(2.)
c = tf.constant(3.)
w = tf.constant(4.)


with tf.GradientTape() as tape:# 构建梯度环境
	tape.watch([w]) # 将w加入梯度跟踪列表
	# 构建计算过程
	y = a * w**2 + b * w + c
# 求导
[dy_dw] = tape.gradient(y, [w])
print("answer is:")
print(dy_dw)

运行结果