Tensorflow和Keras安装流程,jupyter无法使用keras解决方案
1.Base: anaconda https://www.anaconda.com/download
2.安装python=3.8,Tensorflow=2.13.0,Keras=2.13.1
--创建conda环境-在Anaconda Prompt中输入命令, conda create -n tensorflow python=3.8
--激活环境 activate tensorflow
--安装Tensorflow pip install tensorflow==2.13.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
--安装Keras pip install keras==2.13.1 -i https://pypi.tuna.tsinghua.edu.cn/simple
--在tensorflow环境中,进入python,输入import tensorflow 和 import keras测试
3.打开jupyter notebook,运行import keras会报错:'No module name tensorflow' ,jupyter notebook内核没有切换环境。
在Anaconda Prompt中操作:
--安装ipython conda install ipython
--安装jupyter conda install jupyter
--查看可用kernel:jupyter kernelspec list
--在tensorflow虚拟环境下,安装ipykernel: conda install ipykernel
python -m ipykernel install --name tensorflow
运行jupyter notebook:jupyter notebook
Success!
tensorflow、python版本对应关系 https://tensorflow.google.cn/install/source?hl=en#cpu