# Week 2 - Recap ML Basics, Intro to PyTorch

## Course session

**Quiz**

ML Basics recap

**Solutions exercises**

Presentation from the participants of the tasks from PyTorch101

**Walk-through**

PyTorch 202 (Lab 02)

{% embed url="<https://colab.research.google.com/drive/1jrKiUSqGmDmFhn_2mMgn-6aDlFqvlcN1?usp=sharing>" %}

## **To-do**

😊

Go for your own through the Colab Notebook above (Pytorch202) and try to understand and repeat the steps for your own.

Watch the videos on the next page

Go through the following notebooks and complete the second one (assignment notebook):

{% embed url="<https://colab.research.google.com/drive/1Wpr2Zn63BFz4Fy7ViooR_K0mpJkcH9jI?usp=sharing>" %}
The first notebook
{% endembed %}

{% embed url="<https://colab.research.google.com/drive/1Nw_3JZJe-SqB9EWZzxnLM2pet9xnQmmY?usp=sharing>" %}
The assignment notebook
{% endembed %}

The redundancy between some notebooks is desired to reintroduce the concepts in a different way and hence enrich your learning experience!

😊😊

Try to improve the accuracy in the PyTorch 202 notebook by tweaking the amount of layers and number of neurons

😊😊😊

Familiarize yourself with basic PyTorch Tutorials:

* <https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html> (Second part)
* <https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial3/Activation_Functions.html>
* <https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial4/Optimization_and_Initialization.html>


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