Install keras, tensorflow, and add the virtual environment to the Jupiter notebook

Write it in front of you ：

Need to use... Recently LSTM, Today we start to build the environment , A lot of problems , There are mainly two problems , Friends who don't know much about the installation environment can pay attention ：

1、tensorflow and keras as well as numpy And so on . General keras Installation tutorial tensorflow and keras The versions are all compatible , But I have to pretend numpy, Accidentally, the version is incompatible , So every step of my installation specifies the version , Prevent incompatibility problems ;

2、 Because I'm not used to it pycharm, therefore keras After installation, I want to use jupyter open , As a result, we encountered various problems . For example, I can't recognize jupyter notebook This order and so on . So I simply changed my mind , First, add the virtual environment to jupyter in , Then pack in the virtual environment .

The following is the whole process of my installation , They are all mirrors of Tsinghua garden , The network speed is good, and you can install it all in twoorthree minutes ！

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First step ： Creating a virtual environment （tf3 Is the name of my virtual environment , You can pick it up by yourself ）

conda create -n tf3 python=3.6.5   

The second step ： install  ipykernel

pip install ipykernel -i https://pypi.tuna.tsinghua.edu.cn/simple/

The third step ： Put the new virtual environment （tf3） Add to jupter notebook Inside

python -m ipykernel install --name tf3

Up to here , Virtual environment is added to jupter notebook Inside the , Next, install into the virtual environment tensorflow and keras

First step ： First, enter the new virtual environment

conda activate tf3

  The second step ： install tensorflow

pip install tensorflow==2.3.1 -i https://pypi.tuna.tsinghua.edu.cn/simple/

The third step ： install keras

pip install keras==2.4.3 -i https://pypi.tuna.tsinghua.edu.cn/simple/

Step four ： install numpy

pip install numpy==1.19.5 -i https://pypi.tuna.tsinghua.edu.cn/simple/

Step five ： install pandas

pip install pandas==1.1.4 -i https://pypi.tuna.tsinghua.edu.cn/simple/

Step six ： install scikit-learn 

pip install scikit-learn==0.24.1 -i https://pypi.tuna.tsinghua.edu.cn/simple/

Step seven ： install scipy

pip install scipy==1.5.4 -i https://pypi.tuna.tsinghua.edu.cn/simple/

Step eight ： install matplotlib

pip install matplotlib==3.3.3 -i https://pypi.tuna.tsinghua.edu.cn/simple/

Last in jupyter notebook Introduce related libraries , If no error is reported, it means ok 了

from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.layers import Dropout