# 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.

Do Week 2 of the Coursera Course

{% embed url="<https://www.coursera.org/learn/machine-learning-duke>" %}

The notebook from the Coursera Course of Week 2 can be accessed here:

{% 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 our notebooks and the Coursera 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>