This course has the following advantages:

1) academic presentation of the material

2) an explanation of all the details necessary for the programming assignments

3) an excellent pace for memorizing

Great course to get started with the basics of Deep Learning. Key points are covered thorougly and the programming assignments are possible without prior programming knowledge (though it helps).

I found this course amazing to me because it delved deep into the maths behind neural nets and deep learning, it was what I was looking for. Also having a lot of hands on exercices helped a lot.

I like the way course is structured with assignment. It will be great to add course material as pdf so that students can read offline. I personally found assignment challenging due to notations.

Very use full course. It gave a good understanding of neural networks and deep learning in a great educational setting of combining videos, multiple choice test and practical coding assignments.

Andrew Ng is really a great teacher who knows how to introduce progressively the complexity of deep learning. I would add to the course notes some external reference to go deeper in the algebra.

This course really helped me bridge some gaps in my knowledge. I feel more confident in implementing neural networks now. For the first time i was able to understand the maths behind the scenes.

This course is one of the best courses I have ever had. The instructions were simple enough to follow and I really loved the programming assignments. Also the insights given were really awesome.

I learned a lot of useful knowledge from this course. The video lectures and resource is great. I study the concept and then practice after each week. It make me understand the knowledge better.

An excellent, theory-driven and mathematically-informed introduction to deep learning, and how to implement neural networks in Python. Even for a Python novice it was easy to pick up what to do.

Well taught, great course. Really solid grounding in NNs. I would have liked to go deeper into the calculus for the deep neural networks but nonetheless had a great time learning in this course.

Gives a pretty brief and good understanding about how a deep learning model in general works and at the same time helped to implement a multilayer model of neural network for absolute beginners.

it's a great course. I like the interview part very much. By talking with actual researchers, I get to know more about their ideas and thinking, it's a good supplement of their papers or reaches

An excellent way to know Deep Learning theory and practice with programming templates to solve real world problems. Now I'm very confident about applying these solutions to my own problem space.

Great introductory class on coding up your own L-layer neural network. I thought the assignments might have been a tad on the hand-holding side, but perhaps that is necessary for a first course.

This course gave really good understanding of what a neural network is and also it was really confidence boosting to implement a network from scratch giving a through knowledge of the processes.

I expected the assignments to be a bit tougher. They are more of spoon feeding. But it will really be helpful for amateurs in machine learning. Overall the course and the material was excellent.

This is the best ever course on Deep Neural Nets I have taken so far. Programming assignments with math made perfect sense on how to use numpy and python to build neural nets. Thank you so much!

It is very helpful even if you already know about linear algebra and some mathematics. The course is simple and you can get an intuition about Deep Learning. I am looking forward to next course.

Navigating through course materials could be made better!

Guess we need to apply ML algorithms to find which user likes what type of navigation, based on the courses he is taking and continuing!!

Great Course, very well balanced. I discovered how Python and numpy were well suited for Neural Network computing. Sure thing that I'll follow the others Courses of the learning path. Thank You.

Thank you, Andrew! The most important topics have been covered in a concise manner. I have seen many other tutorials on NN & DL, but this course simplifies the mathematics for you. Great course!

I would like to upgrade my knowledge and skills from traditional ML to Deep ML, therefore I have taken this course. Thanks to Prof. Andrew Ng and group for their knowledge sharing great efforts.

Andrew Ng has done something amazing, in terms of quality of the content and simplicity for explanation. integration of juyter notebooks for programming assignments allows to acelerate learning.

:) Really Good DeepLearnign Course, I like the way Ng explained the math. I gives you a good intuition of the why of Neural Networks which mostly everyone fails at it. completely recommended it!