Appendix A. Installing Keras and its dependencies on Ubuntu
The process of setting up a deep-learning workstation is fairly involved and consists of the following steps, which this appendix will cover in detail:
- Install the Python scientific suite—Numpy and SciPy—and make sure you have a Basic Linear Algebra Subprogram (BLAS) library installed so your models run fast on CPU.
- Install two extras packages that come in handy when using Keras: HDF5 (for saving large neural-network files) and Graphviz (for visualizing neural--network architectures).
- Make sure your GPU can run deep-learning code, by installing CUDA drivers and cuDNN.
- Install a backend for Keras: TensorFlow, CNTK, or Theano.
- Install Keras.
It may seem like a daunting process. In fact, ...
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