Andrew Ng is a great teacher, explaining everything in detail and trying to help you develop intuition about the very difficult processes that happen in deep neural networks.

This course helped me gain a solid knowledge in the field of RNNs, Language Model etc. It also helped me to interpret the industrial level projects in a more systematic way.

The course explanation is really nice. The topics are a bit advanced and hence need to be gone through multiple times. As always, Andrew and the team nail it with their work.

I have completed the full specialization. For sure this the best specialization if anyone wants to build his/her career on AI. Thanks to Coursera to be a part of our journey.

I have not seen a better video tutorial for sequence models. I definitely recommend this course and specialization for those who would like to work with deep learning models.

The content is awesome! I have learnt a lot from the sequence model course. Howerver, the jupyter notebook in assignment 7 has a huge problem that I cannot save my notebook.

Great Course as Always. Talks about Few Major Sequence Modeling Algorithms to some deep extent. And the Practical assignments are Fun to do as well. Thank you, Dr Andrew NG.

I loved the course and the whole specialisation. I learnt a lot and I am going to apply all this knowledge to do some projects on my own. Thank you for designing the course.

Excellent instruction, yet again! Thank you for such a valuable course that is available to people who can't afford expensive instruction at a university. I am so grateful!!

Great course! I was introduced to many interesting and difficult concepts about machine learning. The lectures were very good and the assignments were somewhat challenging.

Really useful knowledge ready to be applied to real world problems. Easy to learn without any backgrounds in AI. The practice part is very clear and helpful. Thanks Andrew!

That's the most complicated course in the Specialization. But the more complicated algorithms the more interesting tasks. Thanks for fascinating trip through Deep Learning!

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.

You can spend as little time as you want, or you can go as deep as you want. It's incredible how flexible and well-designed is this course, and the entire specialization.

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.

Complicated concepts explained in quite simple terms upto the Basic Transformer concepts. Hope they could have updated for more state of the Transformer concepts as well

Very nice course! Everything explained clearly. Have been taking the specialization and it much worth to take. Every given material was useful. Thank you for everything.

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!

One of the harder to understand concepts that exist in deep learning. However, the intuition that Andrew gives you makes it so much easier to comprehend. Worthy course!

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.

Thank you, teachers! I learned a lot from this Course as well as this Specialization.

Thank you for Andrew Prof and every teacher made this valuable course.

Thank You <3

This is a very interesting piece of science. Andrew is a great teacher. He always explains all the complex phenomena in a very simple and coceivable way. Thanks a lot!

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.