The course videos, quizzes and the programming assignments are excellently curated. The way things are explained esp. in the notebooks of the programming assignments is simply excellent. Thank You for being highly sincere while designing the course.

Andrew Ng is one of the best tutors I have ever known. He teaches each concepts with an example. Only through his course, we could get the intention behind certain concepts that we already came across during our school days. He is such a genius!!!!!

Very great introduction. Implementation of deep neural networks from scratch is something very few courses offer. This was the best course that taught deep networks in depth. Intuitions are great. Programming exercises are well thought and prepared.

Great lectures and easy way to teach the calculus part about derivatives/gradients. The content seems a little difficult in the beginning but as you move into the programming exercises it becomes "natural" to proceed deeper and deeper in the course.

Very good! Introduces you to some of the math behind the models, which is key to become a pro.

On the other hand, the tests and assignments have some level of difficulty, which makes it mandatory to really study the contents.

Great course altogether.

For me was hard to understand idea from first part of cource, plus I didn't work with python before (JS, C#, Java). So I read additional books and remembered my university course in mathematics, but after that was quite pretty to study and practice.

It's a really good course. I had taken this course after finishing Machine Learning - Stanford University Course and it really helped me understand the concepts better.

I'm very excited to start the next course, (i.e) Improving Deep Neural Networks.

A must watch for Neural Nets Aspirants!! EXCELLENT!!

I had also watched the Machine Learning course by Andrew Ng and that made Neural Networks seem so complicated, but with this course, the explanation is so clear and easy. Simply loved this course!!

Andrew Ng provided another great course. It exposes you to the essential ideas and mathematics behind neural networks and deep learning while not overwhelming you with the details. Looking forward to completing the following courses in the sequence.

Great and very informative. I have learned a lot about neural networks that I didn't know before and this has definitely improved my machine learning skill. I recommend this course to all who want to sharpen or even learn and practice deep learning.

It's a very good an doable introduction to deep learning. There may be a gap between the linear algebra presented in the lectures and what's actually needed in completing the "fill in" type programming exercises, which tended to be less challenging.

This is a great course! I have the mathematical foundation for the deep learning theory. This course provided me with the programmatic methodology for deep learning implementation. Now I feel comfortable applying it to any other problem or use case.

This is a course for those who do not just want to know how to use a neural network, but also want to know how and why they work. The course is well structured and the assignments manage to teach key skills without being overwhelming. Thanks Andrew!

Very good course that gives you a basic understanding of what a network is. The things are described step by step from simple to more complex. Before starting the course I'd recommend to revise a linear algebra a bit (matrix, calculus, derivation).

Very good course to understand the basics of Neural Networks and how they work from a mathematical point of view. If you take your time to revisit all the lessons and to redo from scratch all the assignments in Python everything will work smoothly.

The material was very well explained by Andrew, just enough (but not too much) mathematics to understand the basics of neural networks. Programming assignments were nicely structured and helped to understand and implement the theoretical material.

Amazing course by Andrew and team. What I would have also liked is a more in depth maths behind the backward propagation steps, but I guess that we can always learn from the internet. Thanks again to Andrew and team for making such a useful course.

The course was well designed. It's so easy to follow the instructions to finish the programming assignments. It teaches me how to convert the deep learning algorithm from mathematical equations into Python codes. Thank you very much, Dr. Andrew Ng!

I am very grateful to the course instructor for giving a detailed intuition behind the working of Neural Networks and providing programming assignments to help us build the practical knowledge and apply the knowledge attained to build apllications.

Overall the course was extraordinary. It helped me understand propagations deeply. the only thing which I think lacks is the interaction and understanding of theoretical data in terms of programming language. This is very helpful in job interviews.

Very detailed lectures on the basic of neural network along side with programming. Before the programming exercises, I was given a fairly solid ground to stand on, mathematically speaking. That helped a lot while reasoning my way through the codes.

A very well structured course that goes into detail how neural nets learn. I learned a ton of details from this course and will continue to do so in coming courses. Also, Andrew's enthusiasm to teach helped me stay motivated to learn and work hard.

This is the best course to learn deep learning, highly recommended to anyone with basic knowledge of python. Very intuitive way to learn, charismatic professor and great practical work, which lets you really understand fully whole material. Thanks!

In total a very good course. Explanations are very straightforward and kept just as complicated as necessary.

However personally at some points I missed some mathematical depth, but I think this also not the claim within the field of deep learning.

Very interesting, provides enough hands on exercises at the end of each units and lectures are good.

It would have been nice to correct minor mistakes in videos instead of making a notice before though.

Looking forward course 2 of the specialization!