jupyter中使用TensorFlow 在激活TensorFlow之后安裝ipython和jupyter
Tensorflow的安裝見之前發的 win10+python3.6+tensorflow-cpu+keras+Pycharm環境下的tensorflow配置方法
接win10+python3.6+tensorflow-cpu+keras+Pycharm環境下的tensorflow配置方法
(tensorflow) C:\Users\Administrator>python
Python 3.6.11 [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import keras
Using TensorFlow backend.
>>>quit()
(tensorflow) C:\Users\Administrator>
安裝測驗完keras之后，先用quit()退出python代碼編輯，在tensorflow環境下，輸入如下命令：
conda install ipython
(tensorflow) C:\Users\Administrator>conda install ipython
conda install jupyter
(tensorflow) C:\Users\Administrator>conda install jupyter
ipython kernelspec install-self --user
這里需要注意user前面是兩個–
(tensorflow) C:\Users\Administrator>ipython kernelspec install-self --user
[TerminalIPythonApp] WARNING | Subcommand `ipython kernelspec` is deprecated and will be removed in future versions.
[TerminalIPythonApp] WARNING | You likely want to use `jupyter kernelspec` in the future
[InstallNativeKernelSpec] WARNING | `jupyter kernelspec install-self` is DEPRECATED as of 4.0. You probably want `ipython kernel install` to install the IPython kernelspec.
[InstallNativeKernelSpec] Installed kernelspec python3 in C:\Users\Administrator\AppData\Roaming\jupyter\kernels\python3
打開Jupyter notebook，運行
import tensorflow as tf
import keras
沒報錯，代表成功!!!
參考
使用anaconda安裝tensorflow,并在Jupyter Notebook使用
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