Very good introduction into the topic. The mathematical notation is very clear, which makes it easy and fun to learn the concepts and to finish the programming assignments. The programming assignments are well explained.

Excellent lectures. Programming assignments are straight forward but very efficient. I did not have to spend a lot of time to do them but I felt that I learned the essences of the lectures by following the assignments.

Really enjoyed this course - demystified deep learning to a degree that enabled me to learn and want to learn more. I've always enjoyed Dr. Andrew's courses, and I've rated Coursera to be one of the best MOOCs available.

muy bueno, didactico, practico y entretenido. Me gusto mucho, me parece muy util para divulgar el conocimiento de Deep Learning en persoans que no tienen tanto background de programacion o de matematicas. felicitaciones!

Very helpful for people who has related background but new to deep learning. I have learned not only the the underlying algorithms of deep neural network, but also practical coding skills for implementing deep learning.

The spiral presentation of concepts supported by the well-focused lectures by Andrew Ng and the structured Jupyter notebooks all combine to provide a pretty achievable understanding of neural networks and deep learning.

I've been in analytics for 12 years now and have always wanted to understand neural networks. This course has been excellent!! I love the combination of theory, application, and algorithm explanation. Highly recommend.

The course content provides an In depth knowledge on DL / NN. The programming assignments are arranged strategically to facilitate step by step designing and implementation of NN. Overall it was an excellent experience.

It is quite difficult as they require some algebra-related background knowledge to understand and python coding skills. But through assignments, I feel that I am improving and learning how to design deep neural networks

The Course is Great. I have learned a lot as a beginner. I think it would be much better if there are descriptive slides for main take-away points and if computerized text/typing is used instead of the pointer to write.

Very very well taught progression! It does require to dust off some old calculus and algebra skills, but it is not entirely necessary as everything is very much guided and well explained. I really recommend this course.

Un curso muy interesante y detallado. Sin embargo, seria genial llevar este curso con una base previa de Machine Learning, no porque no se entienda sino porque todo ello le dará un sentido mas 'deep' a este genial curso

Contents in this course are awesome. The way Andrew teaches will give in depth understanding of actual operation of neural nets. I enjoyed a lot while figuring out the nuances of neural nets. Thanks Andrew and Coursera.

At first, it pretty much looks like a Linear Algebra, matrices and a bit of Calculus course (not very deep though) but especially in the last week the videos help you make sense of that Math. Thanks professor Andrew Ng!

This course is beginning of neural networks and deep learning .With this course i have learnt about nearal networks forward propagation and backward propagation nd how to implement that in python and predicting an image

The course of damn exciting. All about Neural Networks put together in the proper order and simplified explanation. I admire Prof. Andrew Ng. Though he is an expert, he made it easy even for beginners to love NN and DL!

Had a thorough understanding of how back propagation works and got to know how forward and backward propagation are used to update weights by gradient descent. The best course for starting to learn about neural network!

Earlier I have done this course from youtube.I Just made account and started doing this over again, skipping what i have done already ; ) . I can't get certificate but that's ok. Special thanks for not making this paid.

An exceptional course !!!

Learned to implement neural networks from scratch, not through library like other courses.

Prof. Andrew is an amazing teacher. This course builds a very solid base for any deep learning beginner.

This course is the perfect sequel for the introductory Machine Learning course by Andrew Ng. Although I felt that a little more depth should have been there while explaining the 'cache', I nevertheless loved the course.

Fantastic course. A must for anybody who wants to develop expertise in NN and DL. While there are great tools like Keras. This course takes you through the inner workings of how DL works. Great job Andrew and your team.

Perfect course for someone who wants to get a good idea of neural networks. The instructor is really good and it is obvious that he has devoted much time to make the assignments such as you can get the most out of them.

This course is excellent, very well paced and clearly presented. The lecturer could have gone faster over some parts and a bit slower over others but that is nit picking - overall excellent and very clear descriptions.

This course is very valuable for the Data Science professionals. Every thing in this course is explained in easily understandable from. Thanks professor Adrew for your teachings. I will definitely use it in my projects.

I really liked how the assignments were structured. I helps a lot that all the messy input preprocess is already done. Also, the interviews where very exiting. That is something that I'll like to see even more.

Thanks!