Technical Prerequistes

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

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
    pip install tensorflow-probability #Needed at the end of the course
    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