There are certain requirements which form the basis for a successful course participation. If you do not have the mandatory requirements listed below, you should consider enrolling in a more basic course of our offerings. Alternatively bring yourself up to speed. Under additional ressources on the left sidebar you find the necessary ressources. Since the course has a really high pace it will be absolutely necessary to straighten these basic requirements before the course!
Python
Here is a refresher notebook:
{% embed url="https://colab.research.google.com/drive/1rK_fTgMukntPN__BA2UWdE0zyKEkWMBy?usp=sharing" %}
Math
Linear Algebra, Probability Theory (at least the basics)
Machine Learning
Basics:
- What is a neural network
- What is a forward/backprogragation
- What is a loss
- What is an activation function
- What is train/val/test
You can set up your PC for local development. A guiding notebook is here:
{% embed url="https://colab.research.google.com/drive/1a-B3jYcyb6Xlef_jiM-ifYWhXJo3IFeP?usp=sharing" %}
Here different IDEs are presented and compared:
{% embed url="https://colab.research.google.com/drive/1tz774I6KWQbl0xmPDEpAQNGbGdy3SgcZ?usp=sharing" %}