The assessment part is something which needs a little work in terms of proper grading and less ambiguity w.r.t outputs. Other than that, this is a fantastic course!

I would say, you can benefits most from taking this Specialization. Thanks for, Its best community in the world to spread the knowledge free of cost.Thanks Coursera

It was great to attend classes and learned much about the core concept and for the first time I got the best intuition about differentiation, Thanks for this course

Perfect course if your new to machine learning with no deep mathematical background. If you already work with neural networks, you should finish this in a day or 2.

It can be sound weird but I regularly get up 2 hours earlier now to study/follow this Specialization before work. No class excited and inspired me that much before!

Excellent! gave me a to the point explanation of the basic terms of neural networks and got me introduced to this field.

I can't wait to enroll in the next courses!

This course was really helpful I never thought that I could build a model from scratch. Completing this course gave me a lot of insights about how everything works.

It was a really good course. I should have done many years ago, but still its never too late. It is motivating me to keep learning. Thank you, Coursera and Andre Ng

Great online course, much recommended. The assignments might be more difficult and challenging, that would lead to a better perception of the underlying principles.

I must say, I am quite amazed from the material of this course. I believe this is a great course that every Neural Network enthusiast must take.

Thank You Coursera.

This course gives a better clarity of mathematics behind Neural nets and the programming assignments are very good, upto the mark.Thanks for creating such contents.

An excellent start to someone who want to master in deep learning. The intuitions provided are very much useful to answer the basic questions of "What, Why and How"

Such a brillient DL course！！！ especially the forward porpagation and back porpagation part, the deduction by Andrew makes this part clear and easily understandable.

L-layered Neural Network Programming in Python is endearing. Will be working further on it to get an in-depth understanding of things I've learned from this course.

I used this course to review basic neural network concepts and came away with a better and clearer understanding of the material that I thought I knew well already.

Great Course. The math was clearly laid out and understandable. Also, the assignments were very well structured to help my knowledge and abilities grow step-wise.

It's a very great course for juniors eng to join in field of neural networks and deep learning. I really appreciate all of you on this course and also the COURSERA!

It is a great course which gives a very good and clear introduction to the neural networks. It helps understand exactly how the neural networks work and are trained

Andrew did his best to simplify a very complex topic. Still a difficult subject, and it is still a challenge even for folks with programming and calculus experience

provides really good start to enter deep learning field, better if you have already ML course from Andrew Ng but without it you can still follow the course material

Tough final exercise, but well worth the effort. If you don't get it right the first time you can end up doing hours of tedious debugging. Just in real life ... ;-/

Excellent coverage of the basics required to understand how NN's work. Be warned, there's lots of (useful) details to remember. Consider using an actual notebook.

This is an extraordinarily well-designed and well-organized course. You will understand neural networks and how to code supervised machine learning python programs.

Andrew does a great job explaining the concepts and the programming exercises are excellent at giving you practice at practical programming in Deep Neural Networks.

The lectures are easy to understand and full of well explained examples. The practical exercises are very clarifying and helps a lot to understand the key concepts.