Great course! Pretty dense for a first course - I'm taking a break and studying what I just learned. Then I'll go to the second course. This is what you need if you want to do deep learning from scratch.

Andrew is great at explaining complex ideas and you can tell thoroughly enjoys what he is doing and teaching. It's been years since I've used Linear Algebra, so I had some refreshing to do, which was fun!

The teaching methods and assignments were excellent. Also they've built a good developing environment. I'm so glad I participated in this course. Specially their tricks and tips for real work was so great.

The most basic but difficult principles are very easy to understand. Through this lecture, I was able to rebuild my knowledge that I had been vaguely aware of. Thank you again for Coursera's financial aid.

Excellent course, great programming assignments. The only difficulty i came across was my unfamiliarity with the python programming language which made the assignments more challenging and rewarding. Great

I think it would have been better to have advanced-beginner notebooks. Notebooks contain too much information for me to test whether I understood or not. I already know calculus, linear algebra and python.

A really instructive and enjoyable course. I had a really good time implementing the things I have learned during the lectures. I am definitely going to continue to this specialization as soon as possible.

A good course for beginners, willing to learn Deep Learning.

The course builds upon the previous concepts, which is a good thing.

The instructor explains concepts in a lucid manner.

Overall, a top experience!

Great Course! The instructor explains everything so well. Programming Assignments are very structured and are helps us to know how to implement the theoretical concepts discussed in the videos in practice.

Great course, though i have been working with DL models before this course, i never intuitively understood their internal workings. This course strengthened by basics and enhanced my understanding about DL

The course is great, you don't have to know a lot of calculus to follow through however basic knowledge of linear algebra can help in easily grasping the fundamentals. The assignments are also very helpful

It is a very helpful course with all the detailed discussion about deep learning and neural networks. Prof. Andrew ng is helpful and teach very well. I am excited to do more courses of this specialization.

The course is really helpful to develop a better intuition about the algorithmic working of neural networks.The calculus portion was just the right amount and the programming assignments were fun to solve.

Really easy to understand for someone who has no knowledge about neural networks before! Coding exercises helped me remember the concepts better. Even if you are experienced, this would be a great refresh!

The course gave me a broad idea of the concepts involved in building a Neural network. The programming assignments helped me gain a clear understanding of concepts. This was an amazing learning experience!

Really helpful in understanding the mechanism behind the working of various deep learning concepts. It gave me a clear view of how the algorithms actually work and got a chance to implement them on my own.

The course is very structured and well taught. Andrew Ng is one of the best instructors. After completing the course my confidence is boosted up. I am going to take remaining courses in the specialization.

This is a great course to get into Deep Learning. A little too much calculus I would say, but this gives you a solid base for further exploration. The assignments a very well structured. Highly recommended

Very easy to understand introduction to deep learning with great examples providing a good overview of the fundamentals of deep learning. Andrew Ng's great teaching style makes this a very enjoyable class.

A great course with the best explanation of the mathematics applied and I just got to learn to build a neural network in a theoretical, mathematical and practical way. Thanks to Coursera and Andrew NG Sir.

This course helped me unfold the Deep learning Blackbox for me.

I would like to thank the mentor and the organiser for structuring the course in a way where we can get a descent understanding of the basics.

the code in the programming assignments needs to be explained more thoroughly , if in the video not only the forward and backpropagation part but also few other parts are explained it will be more helpful.

An excellent introduction to deep learning. Only feedback is that the derivation of the math behind the backpropagation equations was not shown for people wanting to understand how the formulas came about.

After this I am a great fan of Andrew Ng. I mean the simplicity he has used to explain nn and deep learning is legendary. Assignment and Quizes were well suited for testing the understanding from lectures.

Andrew made this basic but very important knowledge much easier to understand. The python practice part is also very helpful. It rechecked the parts I didn't really understand after the lecture. Do thanks.