> For the complete documentation index, see [llms.txt](https://opencampus.gitbook.io/opencampus-machine-learning-program/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/preparation.md).

# Preparation

### Before the first class you should ...

* register with [Google](https://accounts.google.com/) to get a corresponding account.
* register with [DeepLearning.AI](https://www.deeplearning.ai/) to get an account.<br>
* watch the videos [Neural Networks from the Ground Up](https://www.youtube.com/watch?v=aircAruvnKk\&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi\&index=1) (19 minutes) and [Gradient Descent - How Neural Networks Learn](https://www.youtube.com/watch?v=IHZwWFHWa-w\&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi\&index=2) (21 minutes)\
  It will help you getting familiar with the vocabulary and basic concepts in machine learning and get a first intuition for their meaning. Don't worry if you do not understand everything viewing it the first time, and maybe you want to watch the videos again at a later point in the course to understand more details.<br>
* do the introductory course on the basics of Python if you do not have any experience in Python yet: <https://www.kaggle.com/learn/python>


---

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