This is a great course for those who seek to understand more about deep learning and neural networks. The course is well taught and well structured. Andrew is very good at explaining difficult theories.

Course Lectures are easy to understand. The programming assignments allow you to apply the theory to real examples. Done with the first course. Eagerly looking forward to the rest of the specialization.

The is very helpful. I understand the complex conceptions of neural network and have complished the program assignments well. It is so amazing. Thank you for providing this course. I will keep on going.

Really excellent course - Andrew Ng doesn't disappoint with his ability to distill complex topics down to their key components and teach them in very manageable ways. I can't recommend this course more.

The course was great, as it came from Professor Ng. I have learnt how Neural Nets work and intuition for Back Propagation. I had a few doubts and they were well clarified by the course mentors clearly.

Dear Coursera,

Thank you very much for the opportunity to take this course. I believe it is one of the small bricks that will build up my career. Moreover, the content is very interesting and exciting!!!

Love the course especially the assignments in the course . Really enjoy the course . Some time is is little bit hard but in the end its good , thanks for giving me financial aid for the course .

Thanks.

Excellent Course! Concepts are clearly explained. If you put in your part to learn, it's simplicity itself to finish the whole thing! Thanks Andrew! Great job just like all your machine learning course!

I just started this course and guess what I feel like completing it in a day. I am really like the instructor and his way of teaching and explaining the concepts. This course deserves a 5 star for sure.

A great introduction to those ones who want to learn the theory and, specially, the practice in short-term. Even if you've already been introduced to neural this is a good course if you need to revisit.

It is a good course for Deep Learning beginners. The course progresses gradually with simple examples. Of-course the course is not deep into the derivations but learner can dig deep into the math later.

Good for beginners and those looking to understand the basics of ML

Important concepts are explained clearly and the academic support for those need clarifications on certain concepts are top of the line

I haven't seen the video lectures. But, one thing I liked very much about the course is the assignments are from scratch (Just like stanford CS231n). I felt its a very good start for the specialization.

Methodical and simplistic delivery of content. A complex subject is translated to ease through excellent organization of ideas and assignments. Sincere thanks to all the team members behind this effort.

Andrew Ngs courses are always very nice because he doesnt make assumptions about the students background and encourages a wide range of people with varying skillsets. Feel inspired by this his attitude!

I was already familiar with the subject matter in this course, but this was a perfect explanation of the material; with perfect notations. I believe I will use this course as reference on this subject.

It indeed helps me a lot by getting through all the fundamental mathematical understanding about forward / back propagation. Much better and the same issue in Udacity correspondently. Great job, Andrew.

If you have taken Andrew Ng's previous course "Machine Learning", this will be a very gentle warm-up to neural networks/deep learning. For beginners, this course is still friendly enough to begin with.

This is a fantastic course! Repetition is crucial when teaching, and Andrew does a great job of introducing and then reviewing a topic multiple times so that learners absorb and understand the content.

This course is really great to understand neural networks before starting to play with Tensorflow and/or PyTorch. Actually, everybody should follow this course before starting to use these 2 frameworks

Well structured course, learned a lot, thanks. Also enjoyed the "Heroes of Deep Learning" videos. Looking forward to completing the specialization. More challenging than I expected, and that's good.

As someone with a lot of prior knowledge, this course still did a great job building up intuition. My favorite in particular was backpropagation with computation graphs. That lesson was done very well.

Great explanation about deep learning and neural networks by Andrew Ng. He has a marvelous knowledge of the underlying mathematics and he has the ability to explain it in layman terms. Congratulations!

Great platform to start with the fundamentals of Deep Learning and Neural networks. Well organized mathematical explanations and the programming assignments were so helpful to deepen our understanding.

Every concept was well explained in the course. I would highly suggest watching the optional videos because they give a better understanding of the mathematical equations and how neural netoworks work.