/deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

Primary LanguageJupyter NotebookMIT LicenseMIT

Deep Learning Specialization on Coursera

Master Deep Learning, and Break into AI

Instructor: Andrew Ng

Introduction

This repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera.

What I want to say

VERBOSE CONTENT WARNING: YOU CAN JUMP TO THE NEXT SECTION IF YOU WANT

As a CS major student and a long-time self-taught learner, I have completed many CS related MOOCs on Coursera, Udacity, Udemy, and Edx. I do understand the hard time you spend on understanding new concepts and debugging your program. There are discussion forums on most MOOC platforms, however, even a question with detailed description may need some time to be answered. Here I released these solutions, which are only for your reference purpose. It may help you to save some time. And I hope you don't copy any part of the code (the programming assignments are fairly easy if you read the instructions carefully), see the quiz solutions before you start your own adventure. This course is almost the simplest deep learning course I have ever taken, but the simplicity is based on the fabulous course content and structure. It's a treasure given from deeplearning.ai team.

Currently, this repo has 3 major parts you may be interested in and I will give a list here.

Programming Assignments

Quiz Solutions

Important Slide Notes

I screenshotted some important slide page and store them into GitHub issues.

Milestones

  • 2017-08-17: Finished the first-released 3 courses, YAY! 😈