So I tried using Caffe for some natural language processing and found it wasn’t well suited. While it’s great for image processing with convolution networks (CNN), it would take quite a bit of effort to add looping output to make a recurrent (RNN). Recurrent Neural networks are helpful in natural language processing. For instance, if we’re going to pick the next word in a sentence, it’s important to know what words came before it.
Keras is the other major python based neural net tool and to use it, you need matrix library like Theano or Tensorflow. I chose Theano since Tensorflow doesn’t have good windows support at the moment.
The main issue I ran into while installing Theano a crash I was running after installation. The Windows guide can be found here. The dependencies all installed more or less without a hitch. However, I foolishly thought my gcc installation was sufficient, and eventually ran into problems the first time I tried:
conda install theano
I hit a wall. Unfortunately, I didn’t catch what that first error was. The bottom line is I eventually realized it was missing compiler error, and I thought I solved it with
conda install mingw
This doesn’t work! I was able to get Theano to import in python after I added the .theanorc file to my %USERPROFILE%, but I was still running into a python crash specifically at this line in the gpu test:
f = function(, tensor.exp(x))
Python crashed and burned and I figured it had to do with mingw not using a 64-bit binary or dll. No evidence though. Anyway, this fixed it for me:
conda uninstall mingw
conda install m2w64-toolchain
If I had followed the directions closer, I might have saved quite a bit of time, but I just assumed GCC was fine.
Never assume your toolchain is right when you’ve got x86_64 flags in the mix until you’re compiling.
Also published on Medium.