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

How to run your code on the free GPU google colab server

You need a google account to use google colab https://colab.research.google.com. In google colab you can upload, edit and run ipython notebooks. Tensorflow and keras along with the most important libraries are already installed and additional libraries can be added by system calls from the ipython notebook (!pip install ...). It is possible to upload and download data or checkpoints with model weights.

Starting notebooks from github in colab

If you want to open a notebook straight from github into google colab, you can use the following url:

 'https://colab.research.google.com/github/' + repository + 'blob/master/' + file_in_repository

so if you want to open the notebook 00... from our course, you can call the following URL:

TODO: Update URL.

https://colab.research.google.com/github/tensorchiefs/dl_course_2018/blob/master/notebooks/00_Checking_Correct_Installation.ipynb

Running notebooks locally with an 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 users 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
  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

TODO: Update URL

00_Checking_Correct_Installation.ipynb