Installation of Python packagages needed for deep learning software development. I tested this installation procedure on Ubuntu 16.04 and Mac OS X 10.11.6 (El Capitan).
Clone the repository:
git clone https://github.com/alexhagiopol/deep_learning_packages.git
cd deep_learning_packages
Install the latest version of Miniconda:
Ubuntu:
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh
Mac:
brew install wget
wget https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
bash Miniconda3-latest-MacOSX-x86_64.sh
Create a conda environment according to YAML file:
conda env create -f environment.yml
Activate the environment to work inside of it in the current terminal window:
source activate deep-learning
OPTIONAL: You can now train a real neural network to test that your installation was successful:
source activate deep-learning
python cnn_tf_example.py
OPTIONAL: Verify that the deep-learning environment was created in your environments:
conda info --envs
OPTIONAL: Cleanup downloaded libraries (remove tarballs, zip files, etc):
conda clean -tp
OPTIONAL: To uninstall the environment:
conda env remove -n deep-learning