update readme and add jupyter notebooks (#5)

* update readme and add all jupyter notebooks

* Review dl materials, include in toc

---------

Co-authored-by: mxsunc <michi.unger@gmx.de>

Author: foerster-finsternis

_toc.yml

@@ -37,6 +37,13 @@ parts:
     - file: day2.2_dl-basics/readme.md
       sections:
       - file: day2.2_dl-basics/01_neural_networks.ipynb
+      - file: day2.2_dl-basics/02_Convolutional_Neural_Networks.ipynb
+      - file: day2.2_dl-basics/03_Auto_Encoders_exercise.ipynb
+      - file: day2.2_dl-basics/03_Auto_Encoders_solutions.ipynb
+      - file: day2.2_dl-basics/04_LSTMs_exercise.ipynb
+      - file: day2.2_dl-basics/04_LSTMs_solutions.ipynb
+      - file: day2.2_dl-basics/05_CNNs_exercise.ipynb
+      - file: day2.2_dl-basics/05_CNNs_solutions.ipynb
 
     - file: day2.3_explainability/readme.md
       sections:

day2.2_dl-basics/01_neural_networks.ipynb

@@ -1,7 +1,34 @@
 # Deep Learning: Introduction and Basics
 
-* Theory and Practice
-* Introducing algorithms and models
-* Handling of Python libraries scikit-learn and pytorch
+Today we will learn more about how deep learning works and what model types there are used for medical problems.
 
-Slides used for this session can be downloaded as PDF [here](deep_learning_introduction.pdf).
+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](deep_learning_introduction.pdf).
+
+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](https://drive.google.com/file/d/121NTe-6RvQ8GmFxXgiY8ySe35BDWX8R2/view?usp=sharing)
+* [02 Convolutional Neural Networks](https://drive.google.com/file/d/1T1pnVCjIYlyFpgLbQTIN7BGitmcmK4wN/view?usp=sharing)
+* [03 Autoencoders Exercise](https://colab.research.google.com/drive/1r5-UniBHGVb_nUi2aPn7sIf7LGn7bucw?usp=sharing)
+* [03 Autoencoders Solution](https://colab.research.google.com/drive/1MrSwVSsGVpz5tbnYzv4suWuvDRgLiKO4?usp=sharing)
+* [04 Long-Short Term Memory Models Exercise](https://colab.research.google.com/drive/1q0n5NxUrbh072vTC4pyBym-yp0KROLy4?usp=sharing)
+* [04 Long-Short Term Memory Models Solutions](https://colab.research.google.com/drive/1z_G9J6AL7rz7X4f6coGeLymBq_5zq5bH?usp=sharing)
+* [05 CNNs Exercise](https://colab.research.google.com/drive/15B7AZRuuqrjT4b6VPipA9mi626V7EXAv?usp=sharing)
+* [05 CNNs Solutions](https://colab.research.google.com/drive/1KgqY1oIQu6a3NpDPZMh2TIaOeMUnXvI9?usp=sharing)
+
+
+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.