@jeremy / universe Is there anything I should be aware of if I want to use python 3 to complete the rest of the homework assignments on my own machine? (Since I'm not using the AWS scripts I'm only talking about code compatibility from the notebook)
The reason I'm interested is a bit long, so tldr: I want to use windows / python 3.5 ideally.
I'm doing VR development/gaming and the software isn't too linux friendly yet. I get annoyed by changing operating systems, so, I've made efforts to setup a good environment with windows 10 / VS 2015. ( I didn't see that 2013 was suggested, I'll have too look into that, but my 2015 community edition install seems to be working fine so far.)
Why Tensor Flow?
I have multiple-GPU's and I want to leverage all of them so I'm interested in using tensorflow over theano even if it has increased complexity. Or is a simpler choice to try and get theano to run on multiple gpus? As you have mentioned in the MOOC tensorflow seems the best choice for mGPU at the moment. They have added windows support for python 3.5 only as of ~nov 29th. I have setup a separate conda environment for TF and for fast.ai's stack. I'd like to just eliminate the 2.7 python install altogether if it's all the same, I'm not too familiar with python and I'd like to focus on only one version initially.