1.module 'tensorflow' has no attribute 'global_variables_initializer'?問題解決：在import后面加代碼

tf.compat.v1.disable_eager_execution()

然后將源代碼改為：

y_hat = tf.constant(36, name='y_hat') # Define y_hat constant. Set to 36. y = tf.constant(39, name='y') # Define y. Set to 39loss = tf.Variable((y - y_hat)**2, name='loss') # Create a variable for the lossinit = tf.compat.v1.global_variables_initializer() # When init is run later (session.run(init)),# the loss variable will be initialized and ready to be computed with tf.compat.v1.Session() as session: # Create a session and print the outputsession.run(init) # Initializes the variablesprint(session.run(loss)) # Prints the loss

2.RuntimeError: The Session graph is empty. Add operations to the graph before calling run()解決方法：

with tf.compat.v1.Session() as session:

3.placeholder占位符問題，同上，加入compat.v1即可解決：

# Change the value of x in the feed_dictx = tf.compat.v1.placeholder(tf.int64, name = 'x') print(sess.run(2 * x, feed_dict = {x: 3})) sess.close()

4.tf.contrib.layers.xavier_initializer初始化問題：在網上找到兩種解決方法：

一是替換代碼為

initializer=tf.keras.initializers.GlorotUniform(seed = 0)

二是代碼替換為：

initializer=tf.truncated_normal_initializer(stddev=1.0, seed = 0))

5.tf.contrib.layers.flatten()問題：

tf.compat.v1.layers.flatten()

6.tensorflow2.0中全連接層問題：

tf.compat.v1.layers.dense(P2, 6)

總結

以上是生活随笔為你收集整理的吴恩达深度学习tensorflow版本问题的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。