How to do it...

1. You can directly download the installation file for Anaconda on your machine as follows (adjust your Anaconda file accordingly):

curl -O https://repo.continuum.io/archive/Anaconda3-4.3.1-Linux-x86_64.sh

1. Next, run the bash script (if necessary, adjust the filename accordingly):

bash Anaconda3-4.3.1-Linux-x86_64.sh

Follow all prompts and choose 'yes' when you're asked to to add the PATH to the .bashrc file (the default is 'no').

1. Afterwards, reload the file:

source ~/.bashrc

1. Now, let's set up an Anaconda environment. Let's start with copying the files from the GitHub repository and opening the directory:

git clone https://github.com/indradenbakker/Python-Deep-Learning-Cookbook-Kit.git
cd Python-Deep-Learning-Cookbook-Kit

1. Create the environment with the following command:

conda env create -f environment-deep-learning-cookbook.yml

1. This creates an environment named environment-deep-learning-cookbook and installs all libraries and dependencies included in the .yml file. All libraries used in this book are included, for example, NumPy, OpenCV, Jupyter, and scikit-learn. 
2. Activate the environment:

source activate environment-deep-learning-cookbook

1. You're now ready to run Python. Follow the next recipe to install Jupyter and the deep learning frameworks used in this book.