Keras + Ubuntu Environment setup

Tag:tensor    Construction    pip   flow   install    apt   sci   ras    environment construction    

1. Install Theano (Environment parameter: Ubuntu 16.04.2 Python 2.7)
• Installing NumPy and SciPy
• 1.sudo apt-get Install Python-numpy python-scipy
• 2.sudo pip Install Theano
• If PIP is not installed, install PIP first
2. Installing Pyyaml
• sudo pip install Pyyaml
3. It is recommended to install HDF5 and H5PY,CUDNN according to your own situation
• sudo apt-get install Libhdf5-serial-dev
• sudo pip install h5py
• At this point, all dependent libraries have been installed
4. Installing TensorFlow
• sudo pip install TensorFlow
5. Installing Keras
• sudo pip install Keras
6. Test if the Keras is installed successfully
• Type python into the Python command-line environment
• >>import Keras
• If the output using TensorFlow backend. proves that the Keras installation was successful.

Keras + Ubuntu Environment setup