# Week 1 - General Introduction ### This week you will... * get a basic introduction to neural nets in order to get a first intuition in the underlying mechanisms * get a first idea about possible projects you might want to work on throughout the course ### Learning Resources {% file src="" %} {% file src="" %} * Video [Neural Networks Explained](https://www.youtube.com/watch?v=GvQwE2OhL8I) (12 minutes) * [Introductory course on Python](https://www.kaggle.com/learn/python) from Kaggle * [Tutorial on Colab](https://medium.com/towards-artificial-intelligence/google-colab-101-tutorial-with-python-tips-tricks-and-faq-7689bd4d24b4) on Medium ### Until next week you should... * enroll for the course "[PyTorch for Deep Learning Professional Certificate](https://www.deeplearning.ai/courses/pytorch-for-deep-learning-professional-certificate/)" at DeepLearnig.AI using the free plan * complete [Module 1](https://learn.deeplearning.ai/specializations/pytorch-for-deep-learning-professional-certificate/lesson/k227hi9c/conversation-between-laurence-moroney-and-andrew-ng) and [Module 2](https://learn.deeplearning.ai/specializations/pytorch-for-deep-learning-professional-certificate/lesson/0kkxsl/decoding-a-secret-message) of the first course "PyTorch: Fundamentals" * think about project ideas to present in class next week (post your ideas in the chat during the week) * work your way through the the following notebook and complete the assignments: * [Assignment Notebook 1](https://colab.research.google.com/github/opencampus-sh/course-material/blob/main/applied-machine-learning/week-01/Week1_Notebook1_Ice_Cream_Sales.ipynb)