As usual, Prog. Ng has delivered a wonderful course with so many practical examples. The programming exercises were great too (though the online notebooks were flaky).

I had a very good learning experience as the course content was very good and moreover I love the teaching style of Andrew and the motivation he shares while teahing.

Awesome class!!! Mr. Ng explained everything so well I really felt I got a good understanding and the programming exercises were just hard enough and plenty of hints.

Great course! Very informative, and delivered in a way that is easy to follow if you've taken the other courses in the specialization. Andrew has a gift for teaching.

Thank you coursera, Thank you Sir Andrew NG, I just finished the specialization, it seems extremely helpful, It's the most important specialization I have ever seen.

A very good final for the Deep Learning Specialization. This course has made it very easy for me to understand new research papers that involve LSTM and RNN networks

Well organized, imaginative assignments, a good value.

If I could give 4.5 stars I would - the instructor and Coursera ought to patch in and/or edit out corrections.

Very practical. This entire sequence of courses does a great job of taking concepts to the next level and showing how to build practical deep learning applications.

Very effective and intellectual teaching in combination with theory, practical exercises, Thanks to Andrew Ng for making such a deep learning specialization course.

Excellent Course! Bit tough compared to earlier courses, had to watch few videos almost thrice to understand the concepts. Superb course to complete specialization!

wonderful class! Really like the style Andrew teaches. The materials he prepared are very informative. The programming homework are especially helpful (and joyful)!

Very good course for beginners. I personally feel it should be taken by each deep learning aspirant as a starting course who is interested in sequential modelling.

An excellent course which has enabled me to begin to app;ly these techniques in the area of language processing at work. Meets all objectives and ticks all boxes.

Took a deep dive into the esoteric world of Deep Learning. What a brilliant course by Andrew Ng. He truly is a remarkable teacher. An immensely satisfying course.

Some assignment are difficult but interesting enough. I advice other when you stuck in your assignment or quiz again view the video clear your concept and retake.

Thank you for introducing RNN briefly. This is a vast topic but the course managed to give a good idea to enable one to begin on RNN modelling. Thank you Andrew!!

Thank you so much for putting all of the dedicated efforts in creating such an incredibly amazing and useful course for students like me! I really appreciated it!

Good course. The programming exercices are harder than the other courses if you do not correctly understand Kerras logic.

Thank you for giving the type of courses

Absolutely great course. As for me there is only one thing I would like to change. In lab assignments I would appreciate more clarification when using libraries.

Great module as all in the specialization, really. If I were to be picky, the programming exercise could be a bit more challenging by having less completed code.

That's great journey to accomplish the Deep Learning Specialization course. I thanks all deeplearning.ai and Coursera teams who provided this wonderful platform.

One of the best courses out there on Deep Learning. The ease and comforting pace is the best part, learnt a lot, will now try to implement the same from scracth.

This course is so well organised and provides easy explainations for complex neural network models. Furthermore the assignments are really awsome and fun to do !

Excellent course and specialization. Very detailed explanations, active forums and great assignments. A big "Thank you!" to Professor Ng, the staff and Coursera!

Kinda hard for me, because I am more involved into Structured Data and Image Processing Projects right now. But this course gave me lots of new ideas. Thank you!