This course extensively covers the aspects of NLP and its various use cases. It will be of an excellent start for me on my pursuit of research in this field.

As always, Andrew is absolutely amazing at transmitting advanced knowledge and making it accessible to most people. Thank you Andrew and the whole team !

Loved this course. It was everything I expected and more. Always had a hard time understanding attention mechanism and Dr Andrew Ng explained it very well.

I find CNN/RNN courses very helpful, but I would highly recommend to improve the exercises. Some typo mistakes can result in hours wondering what is wrong.

As usual Mr.Andrew NG is great in explaining the concepts.I hope to make use of the skills learnt through this course and this one is coming in great way.

Very interesting course! It has taught me a lot. Special thanks to the Mentors and the Students who gave hints and explanations in the discussion forums.

Extremely clear and useful. Natural Language Processing, Speech Recognition and Automatic Translation are now concepts much more clearer and close for me.

Slightly more difficult than the previous course but a fascinating course. Programming assignments require more thoughts but they are real world use cases

Amazing Content !

Grateful to Andrew Ng and his Deeplearning.AI team for spending great amount of time and effort to come up with such a quality content !

Course content and lectures are excellent. Programming assignments have some minor glitches which should be addressed for a course that requires tuition.

Great lectures. Well thought out quizzes and exercises. The only negative point is that the exercises are too easy, they spoon feed too much of the code.

Perfect Start for Understanding RNNs, LSTMs, BRNN, Attention and Basic NLP. It gets you up and running with very easy KERAS implementation of the things.

The lectures are amazing. The assignments were difficult for me, but forced me to understand the concepts better. Really glad to have taken the course.

Excellent course that not only provides a good foundation for deep learning in general, but also gives some insights into more recent developments in AI.

Very much satisfied, to its content. Learnt a lot, thanks a ton to Prof. Andrew Ng for your hard work on its topics & how making learning easy.

😁️☺️👍️

Very effective at improving my understanding of RNNs (and its variants), Natural Language Processing, and some basics regarding working with audio data.

Great course, but needs more checks for understanding during the lecture. Course would also benefit with a dedicated module on TensorFlow and/or Keras.

The course is well-structured, and a nice introduction to sequence-related neural networks. The programming assignments cover interesting applications.

Fantastic! After this course, i can clearly understand how the basic RNN works. All the programming exercises are very very useful! Thank you so much!

Probably the hardest course of the deeplearning.ai specialization, but made easier with thorough explanations of basic sequence models' architectures.

This is an awesome course like other courses in this specialization. You can easily understand concepts and apply them thanks to Andrew and his team.

Thank you Andrew for being such a good and kind person. You've been a shelter and a kind teacher for all of us. Thank you, Thank you and, Thank you.

Great course on how RNNs work and how they are used to solve real problems (speech recognition, translation, names generation, music generation...).

Systematic, step by step approach to understanding sequence models and practical exercises to see them implemented with lots of guidance.

Thanks you!

The toughest course in the deep learning specialization for me. Learnt a lot. Made me ready for further readings and consolidation of the materials.