Traceback (most recent call last): File "c:\Rlearn\Mode.py", line 6, in <module> from keras.models import Sequential File "C:\Rlearn\learning\lib\site-packages\keras\__init__.py", line 21, in <module> from keras import models File "C:\Rlearn\learning\lib\site-packages\keras\models\__init__.py", line 18, in <module> from keras.engine.functional import Functional File "C:\Rlearn\learning\lib\site-packages\keras\engine\functional.py", line 24, in <module> import tensorflow.compat.v2 as tf File "C:\Rlearn\learning\lib\site-packages\tensorflow\__init__.py", line 37, in <module> from tensorflow.python.tools import module_util as _module_util File "C:\Rlearn\learning\lib\site-packages\tensorflow\python\__init__.py", line 36, in <module> from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow File "C:\Rlearn\learning\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 26, in <module> self_check.preload_check() File "C:\Rlearn\learning\lib\site-packages\tensorflow\python\platform\self_check.py", line 50, in preload_check raise ImportError( ImportError: Could not find the DLL(s) 'msvcp140_1.dll'. TensorFlow requires that these DLLs be installed in a directory that is named in your %PATH% environment variable. You may install these DLLs by downloading "Microsoft C++ Redistributable for Visual Studio 2015, 2017 and 2019" for your platform from this URL: https://support.microsoft.com/help/2977003/the-latest-supported-visual-c-downloads

这看起来像一个 Python 异常，提示缺少 'msvcp140_1.dll' 这个 DLL 文件，而 TensorFlow 需要这个 DLL 文件被安装在一个在你的 %PATH% 环境变量中的目录中。你需要下载并安装 "Microsoft C++ Redistributable for Visual Studio 2015, 2017 and 2019" 这个软件包，并确保它安装的目录在你的 %PATH% 环境变量中。在安装完成后，你需要重新打开命令行窗口或者重启你的计算机，以便让更新后的环境变量生效。

相关问题

>>> from keras.preprocessing.image import ImageDataGenerator Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib/python3.7/dist-packages/keras/__init__.py", line 21, in <module> from keras import models File "/usr/local/lib/python3.7/dist-packages/keras/models/__init__.py", line 18, in <module> from keras.engine.functional import Functional File "/usr/local/lib/python3.7/dist-packages/keras/engine/functional.py", line 26, in <module> from keras import backend File "/usr/local/lib/python3.7/dist-packages/keras/backend.py", line 32, in <module> from keras import backend_config File "/usr/local/lib/python3.7/dist-packages/keras/backend_config.py", line 33, in <module> @tf.__internal__.dispatch.add_dispatch_support AttributeError: module 'tensorflow_core.compat.v2' has no attribute '__internal__'

这个错误提示表明你的Keras和TensorFlow版本不兼容。Keras需要与TensorFlow的版本相匹配，否则会出现兼容性问题。你可以尝试更新TensorFlow或降级Keras来解决这个问题。

首先，你可以尝试更新TensorFlow到最新版本。在终端或命令行中运行以下命令可以更新TensorFlow：

pip install --upgrade tensorflow

如果更新TensorFlow后仍然出现兼容性问题，你可以尝试降级Keras。在终端或命令行中运行以下命令可以降级Keras到2.3.1版本：

pip install keras==2.3.1

请注意，降级Keras可能会导致其他依赖Keras的库的不兼容性问题，因此建议在更新TensorFlow后再重新安装Keras。

Traceback (most recent call last): File "C:/Users/22927/Desktop/1/lstm/lstm_train.py", line 13, in <module> from keras.preprocessing import sequence File "D:\Anaconda3\lib\site-packages\keras\__init__.py", line 21, in <module> from keras import models File "D:\Anaconda3\lib\site-packages\keras\models\__init__.py", line 18, in <module> from keras.engine.functional import Functional File "D:\Anaconda3\lib\site-packages\keras\engine\functional.py", line 24, in <module> import tensorflow.compat.v2 as tf ModuleNotFoundError: No module named 'tensorflow'

这个错误提示是因为你的Python环境中没有安装TensorFlow这个库。Keras是一个高级神经网络API，它可以使用多种后端引擎，其中TensorFlow是其中一个最常用的后端引擎。在你的代码中，你需要使用TensorFlow来运行Keras模型。

你可以通过以下命令来安装TensorFlow：

pip install tensorflow

如果你使用的是Anaconda，可以使用以下命令来安装：

conda install tensorflow

安装完成后，再次运行你的代码即可。