Week 1 - Course Introduction

Course session

Welcome and Introduction round

Introduction of the course, opencampus, the course instructor and the course participants

Tool Set-Up

• Colab

• Editor (VSCode)

• Virtual Environments

• Git/Github

Walk-through

PyTorch 101 (Lab 01)

Google Colabcolab.research.google.com

A visual overview of the workflow in the Colab notebook you can get in the PyTorch diagram below:

97KB

pytorch diagram.pdf

PDF

Open

To-do

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1. Watch the following introduction video to the PyTorch framework

Stanford CS224N NLP with Deep Learning | 2023 | PyTorch Tutorial, Drew KaulYouTube

1. Watch all the videos on the next page - they are derived from a former Coursera Course

2. Go for your own through the Colab Notebook above (Pytorch101) and try to understand and repeat the steps for your own. Thereby you should also solve Task 1-3 in the notebook. You can create therefore a copy of the notebook in your Drive or download the notebook to work locally on it. Ensure that you sufficient computing resources available (i.e gpu) if you choose to work locally.

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Try to improve the accuracy in the PyTorch 101 notebook by tweaking the amount of layers and number of neurons

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Familiarize yourself with basic PyTorch Tutorials:

• https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html (First part)

• https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial2/Introduction_to_PyTorch.html