I couldn't get Theano to run natively on Windows 10 with Python 3.5, despite some helpful guides. Therefore, I used Docker to install and run a virtual Linux machine configured just for running theano. The steps for a new machine, adapted from here:
Install docker and get started with docker
To use docker, open the Docker Quickstart Terminal.
Install the Theano CPU docker image
docker pull kaixhin/theano
Let's open the docker image
docker run -it kaixhin/theano
Now we're running bash inside the docker image. The prompt will look like:
root@81d18d41f513:/#
Note the machine hash (the numbers between the @ and the :/#).
Now we install more stuff on top of this image and exit the image.
pip install ipython
pip install version_information
pip install notebook
exit
Now, we save a snapshot of the image, so we don't have to re-install these packages. This is where the machine hash comes in:
docker commit -m "install ipython" -a "TJ Mahr" 81d18d tjmahr/theano
where -m is a commit message, -a is the author. These are followed by the
image hash and the new name for the image.
Now, we can fire up the virtual machine image:
docker run -dit -v //c/Users/trist/theano:/media/disk -p 8888:8888 tjmahr/theano
where -v x:y says to mount my Windows folder x in the
location y in the virtual machine and -p 8888:8888 maps the virtual
machine's port 8888 to the Windows machine's port 8888 available.
The machine is now running in the background. View its name:
docker ps
Open bash on the machine
docker exec -ti [docker-id] bash
where [docker-id] is the machine's CONTAINER ID or NAMES from the last step.
Inside the virtual machine, install ipython and open it in the mounted Windows folder:
cd media/disk
ipython notebook --ip='*'
Open another terminal and look up the IP address of the virtual machine:
docker-machine ip default
Go to the http://[docker-machine-ip]:8888 to open the Jupyter notebooks