I find this topic very exciting and interesting and I felt that the course did a great job explaining it in a real and practical way. Keep up the good work!

Great course, I can check if a picture is a cat or not so easy, the implementation was a kind of a lot of things but in the practice step by step was great.

It's great because I can build an artificial neural network to classify photos. I will have to practice more to get more experience with it. Thanks coursera

The course was really very intuitive about neural networks and their application. However I'm still confused with the formulas used in backward propagation.

An Excellent and a complete course on Neural Networks and Deep Learning. The math in this course is very interesting and the professor is awesome!

Thank you!

I really loved this course. Course structure is well organized along with the programming assignment help us to gain much intuition of the theoretical part.

Its a great foundational course to head start deep learning in python. Covers everything and most notably its practical and applied rather than just theory.

Really great course. Even if you have taken other courses for neural networks I still think you would get something out of it as I have. Thanks Andrew Ng.

The course is awesome! The lectures, quizzes, and assignments are really good in helping me to get first understanding on neural networks and deep learning.

It was a very amazing course and the programming assignments added a lot to the theoretical knowledge. it was just an amazing experience learning andrew ng.

Brilliant. As usual, Prof. Ng is outstanding and teaches things from first principles that makes sure you are conceptually clear on whatever that is taught.

Well structured and explained. I had to learn Python as well, but I could manage both.

Practical examples helped me to understand better how to apply theory.

This is my first course in machine learning. Professor Andrew is brilliant. The assignments were well structured and helpful in understanding core concepts.

better designed for those without prior neural network math ground. programming assignment is also well crafted to balance the practice vs 'achievability'.

This is a nice introduction to Deep Learning. But you have to be good at Python and some of its libraries (mostly numpy) to finish the programming projects.

The Best deep learning course ever! consistent maths notations makes the material easy to follow and great knowledge checking exercises follows each course.

quiz question are way too easy and assignments basically spoonfeed you everything so there isn't much challenge. Otherwise, great instructor and curriculum

As is true of all of Andrew's other courses, fantastic. Just finished a DS bootcamp and this course was my more interesting than anything I learned there:)

I've always been confused with forward and backward propagations. Thanks to this course, now I can implement my algorithms more precisely and confidently.

i really enjoyed this course whilst learning depths and details of neural networks. This course s a great source to boost your knowledge of deep learning.

This course offers an excellent balance between practical skills and strong mathematical foundations to get started in Neural Networks! Highly recommended.

A very important course, I benefited a lot from it. The explanation was interesting and detailed. I can now say that I have a strong rule in deep learning.

Taking this course helped me learn the fundamentals of neural networks, compare their performances with logistic regression, and develop them from scratch.

Deep dive into mathematics and the how neural networks work underneath of frame work.

What the math is behind all of these fancy deep learning's terminology

The results of the functions in week 4 didn't match 100% with the given results even though my functions were correctly. Maybe you can take a look into it.