Technical Prerequistes

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

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

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. 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

  conda install tensorflow=1.12.0
  conda install keras=2.2.4 
  conda install -c conda-forge ipywidgets

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

jupyter notebook

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

dl course 2019