This course let you understand the very basics of neural networks. I loved the mathematical explanation of backward propagation, if gave a really nice intuition and pointed me in the right direction to pursue a more formal explanation.

A very interesting and clear course for starting the understanding on deep learning. The videos are very comprehensive and the programing activities are very useful. Without a doubt it was the best course I've taken in deep learning!!!

This course was challenging to me - I took three months to complete it. But it was worth it- all the frustrations due to a new programming language and grasping the new concepts too. Prof. Ng is exceptionally gifted. He kept me going.

The course is exceptionally well designed, the hands-on part, i.e. assignments in particular. Use other deep learning material recommended in the forum to complement this course and make up the missing theoretical and mathematical bit.

Great introduction to idea of neural network theory for any person regardless of deep understanding of math behind it. Awesomely constructed assignments let you focus on checking equations being correct instead of fighting with Python.

The concepts are very well explained and later reinforced during assignments. Andrew does a great job in keeping the course simple by not delving into the derivations while still providing optional videos to cover math-heavy material.

This course was very useful and had alot of hidden information about Neural Networks. I find it better to understand and implement a simple neural network. I also learnt how to structure my mind and my code to do the required function

Great course. Good level of detail but assignments descriptions are too informative. It took a very short time to finish them. I'd rather less information on what should be coded given away. But overall it was a very very good course.

Truly helpful course to onboard deep learning field. Content is well-organized, especially for the derivation and intuition to explain the formula. As an intro course, this is highly recommended for anyone interested in deep learning!

Excellent course :-) I am really happy with the way the course is delivered. I would really recommend to anyone that wants to learn Deep Learning. I would like to congratulate the lecturer who thrives in his knowledge transfer skills.

The programming exercises with Python were somewhat simple, and most of the code was pre-written. I feel if students write their own codes with little tips and guidance, the result will be better, and our understanding will be deeper.

This course helped me understand the basics of neural network. I already knew the most basic structure of neural network but this course helped me to understand the more details about how network works and how to perform computations.

Absolutely amazing course, I'm much more confident now. Even for those intimidated when you hear about math in Machine Learning or Deep Learning, this course will give a very good intuition behind the math without getting complicated.

Excellent course, it guides you from the simplest of neural networks to the complex ones. Really loved going through it. Other than state of the art teaching, the application part through assignment also helped to polish the concepts.

Very well-thought structure of the course with incremental complexity. I appreciated Andrew's relentless focus on making sure notation is well understood - this was instrumental in getting familiar with and absorbing all the concepts.

I am giving full stars because it's covers the foundations of deep learning. It really kicks off your learning process on Deep learning. I found the programming assignments very handy and quite useful. Take your time to complete them.

it is a good course to enhance knowledge on Deep learning in short span of time. handson after each topic was very helpful in writing codes and execution. Kindly create assignement and submit, rather than doing it in Notebook directly

Pretty detailed in terms of teaching the fundamentals of how a neural network works. The learning algorithm is broken down into steps, each step individually coached on, implemented and tested. Pretty good knowledge testing questions.

The way of teaching is helpful to understand the theory and make easy to implement it on coding. This course encourages me to solve problem parts by part. I definitely look forward to taking Andrew's courses and makes me more skilful.

Great class!

A basic knowledge of python is necessary.

Andrew Ng does not fear to dive in technical details, which makes the class sometimes difficult, but this permit a better understanding of the concepts that underpin deep learning.

Thanks for the course. I really enjoyed it.

(+)

Really excellent course. Well presented, enough details for beginners to get started without making videos unnecessarily long. Course resources are very good.

(-):

Assignments aren't graded.

Straight to the point, good balance of theory and practice with additional references given to explore further. Andrew is an extraordinary lecturer, a master on providing quick intuition and progressively build a deeper understanding.

After completing this course I have the confidence and understanding of Neural Networks which I would be lacking had I read thousands of articles on the subject. The assignments helped the learning and many thanks to Professor Andrew.

I have spent quite some time studying materials and watching videos to understand deep learning. I felt the explanation in this course is by far the best I have ever seen, Thanks to Andrew and team for coming up with such nice course.

I've learnt how to implement those things which i shouldn't have been able to, but because of the different kind of teaching methodology and jupyter notebooks, i have been able to do my assignments easily and cleared all my conncepts.