![]() Thus, you can also view them in their documentation. The tutorials have been integrated as official tutorials of PyTorch Lightning. ![]() ![]() However, we encourage you to get familiar with the notebooks and experiment or extend them yourself.įurther, the content presented will be relevant for the graded assignment and exam. The notebooks are not directly part of any mandatory assignments on which you would be graded or similarly. You can decide yourself whether you just want to look at the filled notebook, want to try it yourself, or code along during the practical session. The notebooks are presented in the first hour of every Thursday's tutorial session.ĭuring the tutorial sessions, we will present the content and explain the implementation of the notebooks. The notebooks are there to help you understand the material and teach you details of the PyTorch framework, including PyTorch Lightning. We will visit various topics such as optimization techniques, transformers, graph neural networks, and more (for a full list, see below). 24) - Being kept up to dateįor this year's course edition, we created a series of Jupyter notebooks that are designed to help you understanding the "theory" from the lectures by seeing corresponding implementations. Note: To look at the notebooks in a nicer format, visit our RTD website: Ĭourse edition: Fall 2021 (Nov.
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