我在Jupyter笔记本中收到此错误。完整的错误如下:
---------------------------------------------------------------------------
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.
Anaconda版本:
C:\Users\casper>conda --version
conda 4.5.4
在 Anaconda提示中,我按如下所示安装Tensorflow:
conda create -n tensorflow python=3.6
// CPU edition
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple tensorflow
在 Anaconda提示中: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']
这真的是我第一次使用所有这些库和技术,我迷失了方向,我可以看到它的不同Python版本的全部内容,现在对我来说真是一团糟。我该如何解决?
答案 0 :(得分:2)
记住要更改为正确的内核。您可以在Jupyter Notebook中执行此操作,方法是按Kernel
。然后选择Change kernel
并选择您的内核。
答案 1 :(得分:0)
尝试以管理员身份运行Anaconda(右键单击->以管理员身份运行)。 并尝试以下命令(摘自Anaconda文档):
conda create -n tf tensorflow
conda activate tf
您可能需要重新启动PC。