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		| @@ -1,4 +1,13 @@ | ||||
| import tensorflow as tf  # 导入tensorflow | ||||
| """ | ||||
| This code is supported by the website: https://www.guanjihuan.com | ||||
| The newest version of this code is on the web page: https://www.guanjihuan.com/archives/124 | ||||
| """ | ||||
| 
 | ||||
| # import tensorflow as tf  # 导入tensorflow | ||||
| 
 | ||||
| import tensorflow.compat.v1 as tf  # 之所以这么调用,是因为tensorflow版本2.0无法兼容版本1.0 | ||||
| tf.compat.v1.disable_eager_execution()  # 这行代码可以保证 sess.run() 能够正常运行 | ||||
| 
 | ||||
| 
 | ||||
| greeting = tf.constant('Hello Google Tensorflow!')  # 定义一个常量 | ||||
| 
 | ||||
| @@ -28,7 +37,7 @@ print(linear)  # 直接打印是不能看到计算结果的,因为还未执行 | ||||
| state = tf.Variable(3, name='counter')  # 变量tf.Variable | ||||
| init = tf.global_variables_initializer()  # 如果定义了变量,后面一定要有这个语句,用来初始化变量。 | ||||
| with tf.Session() as sess: | ||||
|     sess.run(init)  # 变量一定要初始化变量 | ||||
|     sess.run(init)  # 初始化变量 | ||||
|     print(sess.run(state))  # 执行语句并打印显示 | ||||
| 
 | ||||
| # 例子3:占位符tf.placeholder(),用来临时占坑,需要用feed_dict来传入数值。 | ||||
| @@ -36,4 +45,4 @@ x1 = tf.placeholder(tf.float32) | ||||
| x2 = tf.placeholder(tf.float32) | ||||
| y = x1 + x2 | ||||
| with tf.Session() as sess: | ||||
|     print(sess.run(y, feed_dict={x1: 7, x2: 2})) | ||||
|     print(sess.run(y, feed_dict={x1: 7, x2: 2})) | ||||
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