I am trying to work on neural networks in Python using the following Keras packages:
from keras.utils import np_utils
from keras.layers.core import Dense, Activation, Dropout
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.optimizers import SGD
But, I am getting the following error:
15 import theano
---> 16 from theano import gof
17 from theano.compat.python2x import partial
18 import theano.compile.mode
ImportError: cannot import name gof
Installing installed conda install keras. Later I tried to use pip install Theano, but it did not work. I Tried to install using pip install git, but I am getting this error: cannot find command git. So I installed Git and I set the environment variables.
So, is there any procedure to install these packages?
It is my solution for the same problem
The trick is that you need to create an environment/workspace for Python. This solution should work for Python 2.7 but at the time of writing keras can run on python 3.5, especially if you have the latest anaconda installed (this took me awhile to figure out so I'll outline the steps I took to install KERAS in python 3.5):
Create environment/workspace for Python 3.5
C:\conda create --name neuralnets python=3.5C:\activate neuralnets
Install everything (notice the neuralnets workspace in parenthesis on each line). Accept any dependencies each of those steps wants to install:
(neuralnets) C:\conda install theano(neuralnets) C:\conda install mingw libpython(neuralnets) C:\pip install tensorflow(neuralnets) C:\pip install keras
Test it out:
(neuralnets) C:\python -c "from keras import backend; print(backend._BACKEND)"
Just remember, if you want to work in the workspace you always have to do:
C:\activate neuralnets
so you can launch Jupyter for example (assuming you also have Jupyter installed in this environment/workspace) as:
C:\activate neuralnets
(neuralnets) jupyter notebook
You can read more about managing and creating conda environments/workspaces at the follwing URL: https://conda.io/docs/using/envs.html
In windows with anaconda, just go on conda prompt and use this command
conda install --channel https://conda.anaconda.org/conda-forge keras
I use macOS and used to have the same problem.
Running the following command in the terminal saved me:
conda install -c conda-forge keras tensorflow
Hope it helps.
In case you want to train CNN's with the theano backend like the Keras mnist_cnn.py example:
You better use theano bleeding edge version. Otherwise there may occur assertion errors.
- Run Theano bleeding edge
pip install --upgrade --no-deps git+git://github.com/Theano/Theano.git - Run Keras (like 1.0.8 works fine)
pip install git+git://github.com/fchollet/keras.git
install by this command given below conda install -c conda-forge keras
this is error "CondaError: Cannot link a source that does not exist" ive get in win 10. for your error put this command in your command line.
conda update conda
this work for me .
In windows environment with Anconda. Go to anconda prompt from start. Then if you are behind proxy then .copndarc file needs to eb updated with the proxy details.
ssl_verify: false channels: - defaults proxy_servers: http: http://xx.xx.xx.xx:xxxx https: https://xx.xx.xx.xx:xxxx
I had ssl_verify initially marked as 'True' then I was getting ssl error. So i turned it to false as above and then ran the below commands
conda update conda conda update --all conda install --channel https://conda.anaconda.org/conda-forge keras conda install --channel https://conda.anaconda.org/conda-forge tensorflow
My python version is 3.6.7
Anaconda with Windows
- Run anaconda prompt with administrator privilages
- conda update conda
- conda update --all
- conda install mingw libpython
- conda install theano
After conda commands it's required to accept process - Proceed ([y]/n)?
来源：https://stackoverflow.com/questions/34097988/how-do-i-install-keras-and-theano-in-anaconda-python-on-windows