AttributeError: module ‘keras.backend‘ has no attribute ‘eager‘

Project scenario:

under Windows environment, python 3.6, the versions of each CONDA package are as follows 0

\# Name                    Version                   Build  Channel
absl-py                   0.13.0                    <pip>
astor                     0.8.1                     <pip>
cached-property           1.5.2                     <pip>
certifi                   2021.5.30        py36ha15d459_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
cycler                    0.10.0                    <pip>
dataclasses               0.8                       <pip>
gast                      0.2.2                     <pip>
google-pasta              0.2.0                     <pip>
grpcio                    1.38.1                    <pip>
h5py                      3.1.0                     <pip>
importlib-metadata        4.6.0                     <pip>
joblib                    1.0.1                     <pip>
Keras                     2.3.1                     <pip>
Keras-Applications        1.0.8                     <pip>
Keras-Preprocessing       1.1.2                     <pip>
kiwisolver                1.3.1                     <pip>
Markdown                  3.3.4                     <pip>
matplotlib                3.3.4                     <pip>
numpy                     1.19.5                    <pip>
opt-einsum                3.3.0                     <pip>
pandas                    1.1.5                     <pip>
Pillow                    8.2.0                     <pip>
pip                       21.1.3             pyhd8ed1ab_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
protobuf                  3.17.3                    <pip>
pyparsing                 2.4.7                     <pip>
python                    3.6.13          h39d44d4_0_cpython    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
python-dateutil           2.8.1                     <pip>
python_abi                3.6                     2_cp36m    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pytz                      2021.1                    <pip>
PyYAML                    5.4.1                     <pip>
scikit-learn              0.24.2                    <pip>
scipy                     1.5.4                     <pip>
seaborn                   0.11.1                    <pip>
setuptools                49.6.0           py36ha15d459_3    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
six                       1.16.0                    <pip>
sklearn                   0.0                       <pip>
tensorboard               1.15.0                    <pip>
tensorflow                1.15.0                    <pip>
tensorflow-estimator      1.15.1                    <pip>
termcolor                 1.1.0                     <pip>
threadpoolctl             2.1.0                     <pip>
typing-extensions         3.10.0.0                  <pip>
ucrt                      10.0.20348.0         h57928b3_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
vc                        14.2                 hb210afc_5    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
vs2015_runtime            14.29.30037          h902a5da_5    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
Werkzeug                  2.0.1                     <pip>
wheel                     0.36.2             pyhd3deb0d_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
wincertstore              0.2             py36ha15d459_1006    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
wrapt                     1.12.1                    <pip>
zipp                      3.4.1                     <pip>

Problem Description:

it seems that the version of the library that has been adjusted for a long time has finally run through a LSTM demo, but if you want to open a new test file for testing, the following problems appear


Solution:

the solution to stackoverflow is to use the current keras library and tensorflow Library of unitall, because the higher version of keras library may be used, but the running code is of lower version. Note that you need to install tensorflow before installing keras

The specific steps of stackoverflow with the most likes are as follows:
delete tenorflow delete tenorflow

pip uninstall tensorflow

Update PIP version

pip install --upgrade pip

install keras

pip install Keras

install tensorflow

pip install tensorflow

Apart from this method, I want to say that my final solution is: I found the import statement of the keras library

from keras.models import Sequential
from keras.layers import LSTM, Dense, Activation

Cannot appear in two. Py files!!! Even if you just don’t use import, you will still report this error. It’s too bad. I found this problem after reloading it, so when testing the code, you should either create a new project or write the import statement in a file.


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