README.md

Deep Learning Specialization on Coursera

Instructor: Andrew Ng

Just completed Deep Learning Specialization on Coursera, using this repo to keep a record of all my completed coursework and related files. I will start writing up on each topic with additional links I have been learning from.

Please observe the Coursera honour code.

Currently, these are not standalone Jupyter Notebook, I will try to add some of the dependencies back later as I tidy up the whole set. I will fix broken images too.

I will also add quiz answers eventually too.

Running your own Jupyter Notebook online (free for 2 months)

Use DigitalOcean to play around with Python using Jupyter Notebook. Just need to follow this guide to set it up https://www.digitalocean.com/community/tutorials/how-to-set-up-jupyter-notebook-for-python-3. Use my referral link and receive $100 in credit for 60 days immediately as new user, enough to run quite a powerful 4CPUs 8GB RAM 160GB SSD instance for 2 months, remember to kill it before end of 60 days. Let me know if you need help with the setup. https://m.do.co/t/b298d6966c0c I get some free credit (not cash) to run my server there if you sign up using the link.

Course Video on YouTube

• Deeplearning.ai YouTube Channel

• Course 1 - Neural Networks and Deep Learning

• Course 2 - Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization

• Course 3 - Structuring Machine Learning Projects

• Course 4 - Convolutional Neural Networks

• Course 5 - Sequence Models

If you are in mainland China or can't access YouTube, can try to watch the videos on NetEase 网易云课堂.

Beyond Deep Learning Specialization

• Awesome Python Machine Learning I have added a long list of Python frameworks, libraries, software and resources for Machine Learning. Inspired/Forked from awesome-python, awesome-machine-learning.

• Generative Adversarial Networks Specialization on Coursera I have added another repo for the GAN specialization.