执行《TensorFlow实战Google深度学习框架(第2版)》only源代码 CH3 时如下语句报错
batch_size = 8
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.placeholder(tf.float32, shape=(None, 2), name="x-input")
y_= tf.placeholder(tf.float32, shape=(None, 1), name='y-input')
报错如下
1 AttributeError Traceback (most recent call last)
<ipython-input-2-f46acd37e651> in <module>
1 batch_size = 8
----> 2 w1= tf.Variable(tf.random_normal([2, 3], stddev=1, seed=1))
3 w2= tf.Variable(tf.random_normal([3, 1], stddev=1, seed=1))
4 x = tf.placeholder(tf.float32, shape=(None, 2), name="x-input")
5 y_= tf.placeholder(tf.float32, shape=(None, 1), name='y-input')
AttributeError: module 'tensorflow' has no attribute 'random_normal'
解决办法:
tensorflow显示没有random_uniform模块
解决办法:tf2.0里改名字了,用tf.random.uniform代替
2
module 'tensorflow' has no attribute 'placeholder'
解决方法,更换tensorflow版本,修改方法如下后问题解决
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()