anaconda.md

Technical Prerequistes

The course is taught in python using using jupyter notebooks. The deep learning libraries are tensorflow and keras.

Installation instructions

There two ways, how to run these notebooks, a provided docker container or via anaconda.

Anaconda Installation

• Download the Anaconda Version for python 3.6 required for you operation system. For Windows use the "Just me" option (system-wide will only work, if you make sure that all users have write access to the install directory).

• Create a virtual environment for the course

   conda create -n dl_course anaconda
  

Windows user can use the Anaconda Navigator GUI to create an new environment see here . Directly typing comands can be done in the Anaconda Prompt window which can be opened via the Start Menue button. Within the Anaconda Prompt one can use dir and cd to find and change between different environments.

• Activate the environment

   source activate dl_course
   #or
   activate dl_course
  

• Install the following required packages

   pip install tensorflow==2.0.0
   pip install tensorflow-probability==0.8.0
   pip install jupyter
   pip install matplotlib
   pip install scipy
   pip install scikit-learn
   pip install scikit-image
   pip install urllib3
  

Starting the notebook

Once you installed anaconda you can start the notebooks via (you might need to activate the environment)

jupyter notebook

Checking the installation

Please make sure that the following notebook is working 00_Checking_Correct_Installation.ipynb