1：Kaggle上面命令Proceed (y/n)的處理

• 直接在后面輸入yes
• https://blog.csdn.net/gdufsTFknight/article/details/107957433

2：查看tensorflow版本

import tensorflow as td tf.__version__

3：keras-contrib

• pip install git+https://www.github.com/keras-team/keras-contrib.git

  4：kaggle約束

  tensorflow-cloud 0.1.13 requires tensorboard>=2.3.0, but you have tensorboard 1.13.1 which is incompatible. tensorflow-cloud 0.1.13 requires tensorflow<3.0,>=1.15.0, but you have tensorflow 1.13.1 which is incompatible.

  4：kaggle 的 TF要求

• kaggle要求tensorboard > 2.3.0， 1.15.0 < tensorflow < 3.0

5：No module named 'keras.backend.tensorflow_backen

• ModuleNotFoundError: No module named 'keras.backend.tensorflow_backend'; 'keras.backend' is not a package
• pip install tensorflow==2.2.0 then pip install Keras==2.2.0 This worked for me with Python 3.7.

• https://stackoverflow.com/questions/60970093/modulenotfounderror-no-module-named-keras-backend-tensorflow-backend

6：module ‘tensorflow’ has no attribute ‘Session’

import tensorflow as tf tf.Session() # 在tf2之后，使用下面這個(gè) tf.compat.v1.Session() # 或者是重新安裝會(huì)tf1 的版本

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