DeepLearning.ai Courses Notes

This repository contains M. Badry's personal notes and summaries on DeepLearning.ai specialization courses.

I completed the course in Septermber/Octiber of 2019 and decided to fork M. Badry's personal notes as they're a great starting point to revise the DeepLearning course material and also a good kick-off point to make any edits arising from my own understaning.

I've left the Readme mostly as it is.

DeepLearning.ai contains five courses which can be taken on Coursera. The five courses titles are:

1. Neural Networks and Deep Learning.
2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization.
3. Structuring Machine Learning Projects.
4. Convolutional Neural Networks.
5. Sequence Models.

This is by far the best course series on deep learning that I've taken. Enjoy!

About This Specialization (From the official Deep Learning Specialization page)

If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.

In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.

You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.

AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.

We will help you master Deep Learning, understand how to apply it, and build a career in AI.

Similar Notes

• Beautifully drawn notes by Tess Ferrandez:
  • https://www.slideshare.net/TessFerrandez/notes-from-coursera-deep-learning-courses-by-andrew-ng

Reviews

As DeepLearning.ai is one of the most popular courses in the field of AI/ML/DL, there are some good reviews regarding some or whole of the specialization courses.

The list of reviews includes:

• Ryan Shrott Reviews:
  • Deep Learning Specialization by Andrew Ng — 21 Lessons Learned
  • Computer Vision by Andrew Ng — 11 Lessons Learned
• Arthur Chan Reviews:
  • Review of Ng's deeplearning.ai Course 1: Neural Networks and Deep Learning
  • Review of Ng's deeplearning.ai Course 2: Improving Deep Neural Networks
  • Review of Ng's deeplearning.ai Course 3: Structuring Machine Learning Projects
  • Review of Ng's deeplearning.ai Course 4: Convolutional Neural Networks
• Thoughts after taking the Deeplearning.ai courses
• Learning Deep Learning — fast.ai vs. deeplearning.ai

Acknowledgements

Thanks to VladKha, wangzhenhui1992, jarpit96, and other contributors for helping me revising and fixing mistakes in the notes.

Mahmoud Badry @ 2018