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.

Great course. The way Andrew explains the material makes it very understandable. Labs are very neat - especially the comments and markdwon portions.

Always a pleasure to learn from sir Andrew, and this is one of the best courses that teach Natural Language Processing and Sequence Models in depth!

Sir Andrew teaches in a very friendly way, also the programming assignment is great to check your understanding of the concepts. Highly recommended.

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.

Concepts are covered very well. They are not very easy to grasp. But Professor Ng makes it easy. Hopefully, I will practice some of the knowledge.

Thank you Andrew for sharing all these great and latest staff in the AI Deep Learning field. Fantastic course. Will recommend it to all my IT staff.

the hole module properly designed and the lecture was very interesting and helpful also

coding assignments were really challenging but very useful.

This course have been very useful to learn fundamentals of sequence models. I'm really very happy to apply this course and being able to finish it.

Excellent course. RNN is a complicated topic which has been taught so easily. Thank you Professor Andrew Ng. Loved every programming exercises too.

Very good quality course taught by Professor Andrew Ng. You will learn the basics to master Deep Learning Sequence Models using Keras / TensorFlow.

Excellent course! I learned a lot. The assignment are not as well prepared as previous courses. Probably they'll be better as students raise errors

As a novice in seq-2-seq models, I learned so much! This is a great source of state-of-the art knowledge. I only wish it was at least 4 weeks long.

Professor Ng's lectures provided intuitive ways to understand the complex recurrent neural networks and how to apply it in real world applications.

I learned various applications of the sequence models. I hope, I will be able to solve various problems by applying the techniques I have learned.

Andrew Ng does not hold anything back while discussing sequence models, including attention mechanisms and how to process and generate audio data.

excellent, I did some speech recognition & neural nets in the past, I am surprised at how much the field has evolved, this was a great refreshener

The specialisation and this course have truly helped me gain a profound knowledge in theory as well as in programming of the Deep Learning models.

Course with great content, great examples that give you great intuition and capabilities to enter how the RNN and its different applications work

It has been a long way, but in my opinion this is one of the best set of courses related to Deep Learning someone can find on the internet today.

The course really well introduces to the key concepts of machine learning sequence modelling and NLP tasks. Furthermore, it is really up-to-date.