xbili / coursera-deep-learning

Notes from Coursera's Deep Learning course.

Coursera Deep Learning

These are my own notes in the form of Jupyter Notebooks from Andrew Ng's Coursera specialization on Deep Learning.

I figured that most of the concepts I learned from online courses tend to disappear from my memory a few weeks after completing the course. So I took the effort to translate my notes into nicely formatted Jupyter Notebooks for easy reference.

NOTE: This repository does not contain any solutions to assignments in order to maintain the Coursera Honor Code.

Contents

1. Neural Networks and Deep Learning
2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
3. Structuring Machine Learning Projects

Getting Started

Feel free to fork this repository and add on to the notes that I have created.

Recommended to do this inside a virtualenv for Python dependency management.

pip install -r requirements.txt
jupyter notebook

A browser window to http://localhost:8888 should open up.

Acknowledgement

Most of the screenshots were taken from the videos on Coursera - credits all go to the deeplearning.ai team!