Talk
 Talk given on 9/20/2018 at Inside Data Konstanz
Notebooks
The easiest to interactively work with the notebooks, is to use google colab (you will need to have a google account for that). In colab the notebook will be run in the cloud. For doing the handson part on your own computer you can either install anaconda or use the provided a docker container (you need no google account). See https://tensorchiefs.github.io/dl_course_2018/ for details.
Tasks / Exercises

Ninja track (very few hints) linear_regression_tf: notebook static or notebook interactive in colab

Yellow belt (some hints) linear_regression_tf: notebook static or notebook interactive in colab
If there is time left, you may want to have a look at the solution for linear regression with TensorFlow eager (see below)
Solutions
Please try it first on your own

Linear Regression with TensorFlow (standard graph based): notebook static or notebook interactive in colab

Linear Regression with TensorFlow eager: notebook static or notebook interactive in colab
Further material on deep learning, can be found at tensorchiefs $F^{\mu,\nu}$