It is a very complete course I learned a lot about various network architectures to use in language model, speech recognition, music generation, etc. I highly recommend it.

This one was bit tougher then earlier 4 courses but a very good course. Course content is great for implementing NLP. Course step ups my existing level in Machine Learning.

This was the most fun course of the series. I particularly liked how you can use RNN for NLP. Great series of courses @ deeplearning.ai. Thank you Dr. Andrew Ng and team.

the first week is relevant to my work, but it was great learning a bit about other topics in week2 and week 3. Thank you so much for making these videos and assignments!

Excellent course in order to learn an introduction about Natural Language Processing and Speech Recognition. The programming assignments are fun and challenging. Thanks!

Most of the concepts were new to me. Loved the way the simplicity with which Andrew Ng and his team delivered these concepts even though theoretically they looks tough.

As we proceeded with the lecture, we were able to gain a better understanding of the sequence model and further assist in envisioning entrepreneurial items. Thank you.

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).

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

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)!

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.

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

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!

I loved the content of this course. It covers very relevant topics, the lectures are fun and easy to navigate through, and the assignments are very interesting.

Great video lessons though some of them repeated the same point to many times. Great test/questions sections. Very interesting, educational and fun assignments.

Awesome course, no other online course can match the depth and breadth of the content. State of the art information and super useful and practical assignments.

Great, very usefull with both fundamental understanding of the sequence model, and great practical exercises unsing Keras both to fully understand and gain pra