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.

very good, provides reasonable overview about basics of NN, the assignmets allow to gain better understanding and some level of skill in implementing and using NNs.

It was a great course. It not only gave me high level understanding of how neural networks work, but also understanding of low level intricacies and implementation.

Another fantastic course from Andrew. All material super clearly and logically explained. Assignments very well prepared, absolutely no hiccups. Highly recommended!

Great introduction to deep learning, several intuitions, and its implementation in python! The interviews are very inspiring and useful for early stage researchers!

From this course, I have learnt deep learning techniques very methodically and gained a deep understanding of the concepts that were laid out in the course videos.

This course is as great as machine learning which is also instructed by Dr. Ng. Especially, very valuble assignments. They help to digest the materials a lot.

Excellent course. Everything is smoothly explained by Andrew, the material is awesome and very clear. Highly recommended, specially if you have knowledge in math.

One of the best course in every aspects for freshers who wants to understand the fundamentals in Deep Learning. I will highly recommend this course for beginners.

One of the best courses for starting your journey in Neural Networks. Deep concepts of backends of ML algorithms were discussed and implemented right from scratch,

This is the best course I have taken in Deep Learning. Excellent presentation from the instructor accompanied by a real life hands on programming. Thank you Andrew

It's so great for starting Deep Learning. I was familiar with Neural Network (NN) in Matlab, but I could say learn NN now! Because the details were well explained.

Very intuitive course. The concepts were beautifully explained. However some background of calculus and vector algebra can help in getting most out of this course.

Great course really helps understand how the Neural Networks work from the inside, this is basic knowledge that everyone dealing with Neural Networks should posses

I liked Andrew's lectures a lot. Also liked the quizzes. The assignments were great, but felt just a little spoon-fed though. Still, a great course. Worth 5 stars.

I had learnt the neural networks but this course has made me understand the basic small implementation details of deep learning and intuition behind how they work.

I understood all that he taught but still i am unable to develop the intuition of the working of L layer

neural network. Unable to understand why they work so well

I've learn many things,even i'm not really understand about the derivative,but it help me to get the big picture on how the NN works,happy learning,just enroll it.

Its a very detailed course for all Deep Learning aspirants. It clears all basics from scratch. I will recommend every data science pursuing students/professionals.