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How do I install Keras and Theano in Anaconda Python on Windows?

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?

The key part of the answer to the question this is a duplicate of might be conda install mingw libpython.
Not for OP so much as for future googlers: A very comprehensive guide github.com/philferriere/dlwin

P
Peter Mortensen

It is my solution for the same problem

Install TDM GCC x64.

Install Anaconda x64.

Open the Anaconda prompt

Run conda update conda

Run conda update --all

Run conda install mingw libpython

Install the latest version of Theano, pip install git+git://github.com/Theano/Theano.git

Run pip install git+git://github.com/fchollet/keras.git


This is great, a few comments tho: 1) I had mingw g++ installed and this was causing issues so I had to run mingw-get remove g++ gcc to ensure that TDM was being used 2) recommend to run pip install git+git://github.com/fchollet/keras instead of pip install keras. Gets all the latest goodness.
Installing the latest version of keras is important as it is developing rapidly!
A disclaimer on this: It doesn't work with python 3.5 as of this writing (Theano needs libpython, which no one figured how to get working in 3.5). Use 2.7 or 3.4 for the time being.
I followed these instructions and it appears to work, but for us complete novices, there are two clarifications: (1) The "Anaconda prompt" is found in Windows by Start/All Programs/Anaconda2/Anaconda Prompt, and (2) For some reason, the "pip install" seems to hang. I get the message "successfully installed" but I do not receive the command prompt afterwards. Disconcerting.
After adding git to my path I get a very long error message when running "pip install git+git://github.com/Theano/Theano.git". The main error seams to be: "no lapack/blas resources found"
M
Mel

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=3.5 C:\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


You will need to install jupyter notebook within the environment as well
@KannarKK, you are correct. If you want to use jypiter or other tools you will need to install them in this environment that you created as in (neuralnets) C:\conda install jypiter. Thank you for that addition.
I just want to say thank you - i've spent almost an entire day trying out different ways to install keras and get it to work, and this is both the easiest and the only one to actually work for me
Amen to that! Worked like a charm. Looks like keras picks TensorFlow as the default backend. How do I change it to Theano if needed?
@ultasounder: %USERPROFILE%\.keras\keras.json
G
Gaurav Khare

In windows with anaconda, just go on conda prompt and use this command

conda install --channel https://conda.anaconda.org/conda-forge keras

Is there a "/" missing between the "forge" and "keras"?
No. keras is what needs to be installed. https://conda.anaconda.org/conda-forge is channel
K
Kayvan Mazaheri

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.


I'm on a Windows 10 64bit system with Anaconda 3 installed. This worked perfectly for me. Thanks! EDIT: Apparently works perfectly for Python 3.6, but not with Python 3.7. Since Anaconda 3 installs 3.7 as default, one has to first downgrade Python to 3.6 before installing keras/tensorflow!
R
Randy Welt

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


R
Rudresh Mehta

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 .


A
AKumar

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


E
ElConrado

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)?