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This course is great because the contents are clear and consice. The excercises are very helpful and they help me a lot to understand what neural Network is and how it works.

It was refreshing and a good place to brush up my fundamentals again. As always Andrew Ng has done a great great great job organising and teaching the material. Thank you Ng.

The concepts are taught with easy to follow examples.

Earlier i had given up after trying the machine learning course a few times but this one is quite easy to follow through.

I liked this course, it is very well explained and it proves that you don't need to be a genius in calculus to achieve it. Good luck to anyone taking this course and have fun

I really enjoyed this course. I took Andrew Ng's seminal ML course previously; this filled in a bunch of gaps for me. I'm looking forward to the next courses in the series!

For an absolute beginner one of the best introductions to neural networks.Although the programming exercises felt too much spoon fed.Nevertheless , it was a very good course.

This course gave me an introduction to deep learning and its practice. I think it is a very good start for people who want to start on this exciting journey of Deep Learning.

excellent and amazing class! super intuitive and great, clear explanations. highly recommend to anyone interested in ML and deep learning especially. be familiar with numpy!

Magnificant beginning to neural networks. Neither deep into theory too much nor shallow. Perfectly adjusted for learning the theory behind easily with hands-on applications.

The course really takes you to the graphic details of the initial phase of Deep Learning. I would like to THANK YOU all the members who made is so easy to proceed further.

I liked the way every topic was introduced and flow was maintained in the sessions. The best part is the link between the assignments and theoretical concepts from sessions.

The fundementals of Neular Networks and Deep Learning are explained very well. Both of Math and code are balanced but Pyton libraries could have been mentioned much more .

This course was a great beginner. Andrew does a wonderful job of explaining the entire math behind the code. I will definitely recommend this course to my friends and peers.

I am really grateful for this enormous and consistent effort exerted by course instructors to come up with a course as greatly organized as this one . May god bless you all

This is course helps me a lot in getting intuition of neural networks as well as deep networks. Explanations were easy to understand comfortably applied.

Thank you Andrew Sir

This is a great course, It helped me building intuitions about how neural network works, what kind of activation functions shall we use in a problem. Overall, Great content!

Really is an introduction to neural networks. Andrew is an excellent teacher, who is able to take you through deep learning easily. Very useful if you are new in this field.

It was detailed yet very comprehensive! Andrew's approach to the problem makes the concepts of deep learning, calculus, and neural network easy to understand and comprehend.

Excellent course I had already understood the programming part but getting the insight and knowledge behind it was something I always wanted to do and this course delivered.

Very interesting assignments. Got to learn python numpy & how effectively to build a neural network. Also the back-propagation implementation demonstrated was quite helpful.

You will learn to implement neural networks from basics in python without using any bulit-in libraries. It will train your basics of forward and especially back propagation.

This is the best course I've ever seen. Their explanations are pretty clear, Those who are interested in neural networks & deep learning I will always suggest this course...

Difficult because I have not programmed in Python. I trained in C and c++

I have done research in Neural networks in the 1980's and wanted to start applying it to healthcare.

Great course, I would've just preferred to learn a bit more about the calculus behind back propagation using sigmoid activation as I think that would've helped me out a bit.

Great course for those who are new to Deep Learning. For those who are familiar with DL, this course is an excellent way to revise the principle of how DNNs work in details.