Deep Learning: Introduction and Basics

Today we will learn more about how deep learning works and what model types there are used for medical problems.

What we will do today:

• Theory and Practice of Deep Learning

• Introducing different model architectures

• Hands-on practice with in different exercises

Slides used for this session can be downloaded as PDF here.

We will use the Jupyter Notebooks today not over our terminal but in Google Colab.
Google Colab can be used as a coding environment and provides us with computational resouces like GPUs.
Please login to your Google account.

2 IMPORTANT HINTS:

1. Please open the notebooks over the links down here. This will first give you a page with a lot of text. In the upper right corner there should be a button with “Open with Google Collaboratory”. Please click on this.

• 01 Neural Networks

• 02 Convolutional Neural Networks

• 03 Autoencoders Exercise

• 03 Autoencoders Solution

• 04 Long-Short Term Memory Models Exercise

• 04 Long-Short Term Memory Models Solutions

• 05 CNNs Exercise

• 05 CNNs Solutions

2. For notebook 01, 02 and the exercise notebooks, please save a copy of them in your Google Drive and work on these copies not in the original notebooks. For this you open the notebook click on File -> Save a copy in Drive -> wait a few seconds until the copy opens automatically.

Then you can work on the exercises and have fun !

We added the notebooks also as files in Git for your to have a look but not to execute them on your laptop.