I think it is a great course for beginners and it does help you to understand what's going behind the scenes of different activation functions, backpropagation etc. I would gladly recommend it to anyone who wants to start learning about neural networks.

This is the best introduction to neural nets you will find, I've done a few of them. By the end of the course you have built a python based neural net, including backprop, which can be applied to any number of layers and neurons. A great tool in itself.

The profundity of this course is achieved with breathtaking lightness. I really love the programming assignment, and at the same time, Andrew gives us some useful programming tips. Great course, if there is more mathematical proof that would be awesome!

The course is incredible, I found it difficult because of my difficulty with English, even reading the subtitles I had difficulty in abstracting the knowledge. However, I sought to complement my studies with courses in Portuguese and it was successful.

The course is really well-planned as an introduction to Deep Learning. The vexplanations of Andrew are the best, clear, straightforward and always saying what is advisable to remember and what are extra (but interesting) details. Totally recommendable.

Its been an incredible journey to complete - DeepLearning Specialization by attaining the series of all 5 top-notch courses. My special thanks to the Andrew Ng and his team for designing the best course for improving deeplearning skills. Thanks a lot!!

A perfect introduction to the world of Deep Learning. The course is the right mix of lectures, quizzes, and assignments. It is not so easy that one can just sail through the course and at the same time is not so tough that one cannot finish the course.

The course was clearly designed to understand forward propagation and backward propagation algorithm. The practice assignments helped us to implement the algorithm in code starting from scratch. Overall, a must to do to start in field of deep learning.

For understanding what actually goes on at the back end of Neural networks and not just assume it's magic this is a Top course. Only one suggestion would be to add an intro to Tensorflow after we completed implementation of Neural Networks by ourselves

Challenging, but doable given the structure. I would have preferred a lecture solely on neural network application example (real life) so I can continue to get motivation and understanding on how helpful learning this skill with be to me in the future.

Excellent course! Great teaching, logical topic sequencing, and very well prepared materials (Jupyter notebooks, tasks cadence, quality of the assignments).

I have already recommended this course to several friends.

BTW, great value for the money!

The course was amazing. I was close to giving up when I started week 2 but after one week being late. I decided to try again. The programming assignments will walk you through the problems. If you can read and have some intuition don't give up to soon.

This is the first Neural Networks course that I will subscribe to and find it easy to understand the algorithms. I enjoyed every aspect of this course, I will probably need to watch again and practise more to fully grasp this. I totally recommend!!!

I am very happy to deep dive into Neural Networks and Deep Learning course. Each and every mathematical explanation is well organized and obviously, it is for Andrew Ng. code practice has been set wisely for all newcomers. Thank you so much, Coursera.

This is the best course in the series. It manages to explain Feed Forward networks and backpropagation, which are not trivial concepts. The practical assignments are really the most valuable part - after doing them, I underestood the topic completely.

This is a high level course where you will learn a lot. But as said in one of the videos, learn the basic math first. This is an advanced course where you need some basic understanding first. But, so good this course. I have learned so much from this.

This is a fantastic course. I liked the way the instructor builds the learning curve from logistic regression through 1 hidden layer network to the deep L-layer. What you learnt in the previous model is reinforced in the later ones. Thanks to the team

I find this course very helpful and very interesting. But I think there should be more programming assignments and in last there should be one more assignments which do not have hints and we have to do it all by himself. Otherwise course is very good.

I had previous experience from Deep Learning with PyTorch, and this course deepened my knowledge, and now I can implement deep networks without any libraries. I can recommend this course also to people who want to deepen their knowledge on this topic.

I don't have any idea to tell how it was. wonderful teaching style you inspire me.. thanks for programming part was so wonderful i understand both the maths and programming part .. now i am very happy to writ deep network algorithm.. God bless you Ng.

Very nice introduction to Neural Networks, I consider that instructor's vocation is one of the most required aspects when you take a class anywhere, and I see Andrew Ng is entirely commited with a suitable way for deep learning knowledge divulgation.

As an Artificial Intelligence student, this course has indeed helped me open to new opportunities to develop deep learning applications that I cannot wait to do!

The course is well structured for both beginners and advanced learners, simple and direct!

This was one of the best courses i have ever done , and i am happy that i did it..It is very knowledgeable and the tutor for this course is also excellent.

I would highly recommend this course to everyone who wants to start studying into deep learning.

Great course! I would prefer that all the videos be perfect rather than having to read a note about how a small mistake was made in a few videos (but it didn't affect the quality of the videos in any substantial way, so it's not worth removing a star)

Thanks go to Andres Ng. Neural networks and deep learning gave me the immense opportunity to explore the world of supercomputing power and the new way of recognizing the thing. I will be using the skills acquired in this course in my doctoral career.