tf.nn.xw_plus_b学习

最新推荐文章于 2023-03-24 06:59:50 发布

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最新推荐文章于 2023-03-24 06:59:50 发布

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分类专栏： tensorflow

本文链接：https://blog.csdn.net/baidu_15113429/article/details/79150846

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#-*-coding:utf8-*-
import tensorflow as tf
x=[[1, 2, 3],[4, 5, 6]]
w=[[ 7,  8],[ 9, 10],[11, 12]]
b=[[3,3],[3,3]]
result=tf.nn.xw_plus_b(x,w,[3,3])

init_op = tf.initialize_all_variables()

with tf.Session() as sess:
  # Run the init operation.
  sess.run(init_op)
  print(sess.run(result))

实验结果：

"C:\Program Files\Anaconda3\python.exe" C:/Users/User/PycharmProjects/nlpdemo/tensorflowlearn/xw_plus_b.py
WARNING:tensorflow:From C:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\util\tf_should_use.py:107: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Use `tf.global_variables_initializer` instead.
2018-01-24 14:49:52.772000: I C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
[[ 61 67]
[142 157]]