NOTE: Read this section only if after pip installing theano, it raises error in enabling the GPU support! Notes about Installing Theano with GPU support To re-create the virtual environments (on Linux, for example): conda env create -f deep-learning.ymlįor OSX, just change the filename, accordingly. Namely deep-learning.yml and deep-learning-osx.yml, respectively. In this repository, files to re-create virtual env with conda are provided for Linux and OSX systems, ![]() I'm currently running this tutorial with Python 3 on Anaconda !python -version These are available for multiple architectures. ![]() The easiest way to get (most) these is to use an all-in-one installer such as Anaconda from Continuum. NVIDIA cuDNN if you have NVIDIA GPUs on your machines.hdf5 and h5py (required if you use model saving/loading functions in keras).ipython/ jupyter version 4.0 or later, with notebook support. ![]()
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