Very good first steps toward deep learning. Took me four times to go over the materials to understand the concept. Need to go back this materials for further learning.

Andrew Ng does a fantastic job honing in and getting granular on how the math works behind neural networks and deep learning. This has fast tracked more than I imagined.

It is a wonderful course! It helps me have a general idea about neural networks and deep learning. Through each week's assignment, I am a bit familiar with some details.

Great instructor and carefully designed programming exercise with a clear workflow of implementation. Learnt the essence of basic concept of neural network from scratch.

Me parece una introducción muy buena para aprender los conceptos del Deep learning. Como todos los cursos de Andrew el hilo es muy bueno y las explicaciones fantásticas.

This course is really amazing, it helps me build up a fundamental understanding of neural network and deep learning. Thank Andrew, his colleagues and Coursera very much!

Thank you coursera for providing me an opportunity to learn by Andrew NG Sir . I'm glad that I learn one of the latest Technology and successfully completed this course.

Now have deeper and crystal clear understanding of neural network. Now it doesn't seem like mystical black box rather a mathematics marvel. Thank you, Andrew Ng and team

Andrew is as projecting his knowledge in a very comprehensible fashion. The excercises are great and I like the interviews that links to the real world of deep learning.

Very well structured course. My request to provide the complete python code of all the 4 weeks so that I can hone my python skills. Outstanding explanation by Andrew Ng.

This first course really reminds me a lot of the basic of ML, the first course and the material from the ML course are really great for who wants to start learning ML/AI

If love coding algorithm from scratch, this is for you. Understand how neural network works and make it from scratch. Partial derivatives are important before you start.

Excellent course. A mus for those who want to have a serious introduction to deep learning. For people with intermediate levels in python programming and linear algebra.

Nicely presented lectures, even for super beginners (me) it was understandable. And I liked the way jupyter notebook, all the assignments and grading worked - very cool!

Awesome course, great explanation of very complex material. Teaches in a way that will meet the needs of people with a wide variety of backgrounds and experience levels.

There is a bug in your system because of which I was charged incorrectly but nobody is ready to listen this. Coursera should not cheat people of their hard earned money.

Very organized and logical presentation; graded HW was almost too structured--little space for creativity. But it allowed my confidence to grow as each HW was completed.

A very good and fun introductory course on Deep Learning (Deep Neural Networks ;) ). Assignments were easy to do, however, course work hours were a bit under estimated.

It was amazing adventure into Deep Learning. Thank you Andrew for amazing content, good explanation and cool exercises! I'm gonna definitely keep learning deep learning.

Prof Ng has made the course easy to follow, without dumbing down the mathematical framework. Doing this is not easy, which is why I will recommend this course to others.

One of the best courses I've seen on Coursera. The instructions are clear and the exercises are extremely useful in building a deep understanding of the course material.

Thank you So much Sir Andrew, this was really helpful and educational. The concepts were crystal clear and i was able to solve the assignments without much difficulties.

Very interesting course. If you don't know python don't try to take this class. I suggest taking a python course before taking this class. Otherwise the programming hom

Lots of good technical details and useful practical tips.

Not extremely difficult if approached with prior knowledge of Linear Algebra, derivatives and Machine Learning.

Liked the practical parts of the course a lot.

The only small nit I have: It felt that there is perhaps slightly too much repetition with the formulas from week to week.