ModuleNotFoundError：Jupyter Notebook 中沒有名為“tensorflow”的模塊

Question

我的 Jupyter Notebook出現此錯誤。 完整的錯誤如下：

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
 in 
      1 import numpy as np # working with data
      2 import pandas as pd
----> 3 from keras.layers.core import Dense, Activation, Dropout
      4 from keras.layers.recurrent import LSTM
      5 from keras.models import Sequential

~\AppData\Local\Programs\Python\Python37-32\lib\site-packages\keras\__init__.py in 
      1 from __future__ import absolute_import
      2 
----> 3 from . import utils
      4 from . import activations
      5 from . import applications

~\AppData\Local\Programs\Python\Python37-32\lib\site-packages\keras\utils\__init__.py in 
      4 from . import data_utils
      5 from . import io_utils
----> 6 from . import conv_utils
      7 from . import losses_utils
      8 from . import metrics_utils

~\AppData\Local\Programs\Python\Python37-32\lib\site-packages\keras\utils\conv_utils.py in 
      7 from six.moves import range
      8 import numpy as np
----> 9 from .. import backend as K
     10 
     11 

~\AppData\Local\Programs\Python\Python37-32\lib\site-packages\keras\backend\__init__.py in 
----> 1 from .load_backend import epsilon
      2 from .load_backend import set_epsilon
      3 from .load_backend import floatx
      4 from .load_backend import set_floatx
      5 from .load_backend import cast_to_floatx

~\AppData\Local\Programs\Python\Python37-32\lib\site-packages\keras\backend\load_backend.py in 
     88 elif _BACKEND == 'tensorflow':
     89     sys.stderr.write('Using TensorFlow backend.\n')
---> 90     from .tensorflow_backend import *
     91 else:
     92     # Try and load external backend.

~\AppData\Local\Programs\Python\Python37-32\lib\site-packages\keras\backend\tensorflow_backend.py in 
      3 from __future__ import print_function
      4 
----> 5 import tensorflow as tf
      6 from tensorflow.python.eager import context
      7 from tensorflow.python.framework import device as tfdev

ModuleNotFoundError: No module named 'tensorflow'

在cmd中：我的python版本是：

C:\Users\casper>python --version
Python 3.6.5 :: Anaconda, Inc.  

蟒蛇版本：

C:\Users\casper>conda --version
conda 4.5.4  

在Anaconda Prompt 中，我安裝 Tensorflow，如下所示：

conda create -n tensorflow python=3.6  
// CPU edition    
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple tensorflow    

在Anaconda Prompt 中：我的 Tensorflow 版本是：

(base) C:\Users\casper>activate tensorflow

(tensorflow) C:\Users\casper>python
Python 3.6.2 |Continuum Analytics, Inc.| (default, Jul 20 2017, 12:30:02) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
2020-02-14 19:36:32.468120: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-02-14 19:36:32.474896: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
>>> tf.__version__
'2.1.0'
>>> tf.__path__
['D:\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow']  

這真的是我第一次使用所有這些庫和技術，我迷失了方向，我可以看到所有不同的 Python 版本，現在對我來說真的一團糟。 我怎么能修好呢？

Answer 1

請記住更改為正確的內核。 您可以在 Jupyter Notebook 中通過按Kernel來執行此操作。 然后選擇Change kernel並選擇您的內核。

Answer 2

嘗試以管理員身份運行 Anaconda（右鍵單擊 -> 以管理員身份運行）。 並嘗試這些命令（取自 Anaconda 文檔）：

conda create -n tf tensorflow
conda activate tf

您可能需要重新啟動 PC。