Special thanks to Andrew Ng and the rest of the Coursera team for creating a very accessible Deep Learning Specialization. This repository contains the unsolved versions of the programming assignments as well as the quizzes and exploratory labs provided.

The exercises typically use Interactive Python Notebooks (ie: the .ipynb files). You can use tools such as Google Colaboratory, Deepnote, Jupyter Notebooks

Please feel free to fork a copy of this repository over for your personal use. Feel free to create a GitHub issue if something is missing. Happy learning :)

Some of the lab exercises will contain data files that you need to work with. Due to frustrations with Git LFS and the billing structure, I have moved some of those larger files into a publicly accessible Google Drive link. Please carefully follow the README.md for each lab and download all the supplemental files/folders to the specified directory BEFORE starting the assignment