These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.
Picking the right architecture = Picking the right battles + Managing trade-offs
- Clarify and agree on the scope of the system
- User cases (description of sequences of events that, taken together, lead to a system doing something useful)
- Who is going to use it?
- How are they going to use it?
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brew install python | |
easy_install pip | |
#install scipy use temp branch | |
pip install git+https://github.com/minrk/scipy-1.git@accelerate | |
#ft2build.h not found ==> | |
pip install git+git://github.com/matplotlib/matplotlib.git |