A good course for NLP, but I like the previous courses more. This course does not deliver the teachings as clear as the previous courses. And I can feel that we've skipped a lot of things in this course.

These classes are excelling practical examples of how to use tensorflow for various problem types. My only objection is they are slightly light on the actual, behind the scenes, math and intuition.

This course represents a step forward to the previous courses on CNN and ANN. Very interesting themse and functionalities learnt in this one. Please fix third homework code because zip file is 404.

The course is great, but the assignments were not designed as well as the ones in the previous courses. I believe that a careful design of the assignments could significant improve the experience.

Was really easy as compared to CNNs. I wish this had more notebook evaluations like the course for CNNs since that really made me feel good overcoming all the tasks, especially the last one.

Good course that gives you basic understanding of word embeddings, sequence analysis, and many other things. Thank you for Mr. Moroney and the entire Coursera team for making it available.

NLP is a very interesting topic, and this course brings me closer to actually working on a NLP project myself. I don't know why exactly, but I cannot be fully satisfied with this course.

The Course was really great I enjoyed learning, just a little suggestion Laurence, your voice was too low while going through the code in the collab, but still I enjoyed learning a lot

Good course. Especially the sequence models part was covered really well. I enjoyed watching all the videos and the reading materials, notebooks were well explanative. Thank you.

A good course which gave a in depth overview of NLP classes in tensorflow . Need to include more challenging assignments and also should bring in modules on BERT which is SOTA.

Excellent course but I would have liked to have exercises that required coding. I learn better by writing code, figuring out the order, etc. Still, a very good course.

Overall the course content is very good, and professors instructed very well. But the assignment is not as good. It would be better to have a submission functionality.

The course is great. However, the code needs a revisit as some code chunks became obsolete since TensorFlow 2.2.0 causing error especially model fit for many notebooks

i hope in the future this course can provide also the noted programming exercise and let them be more difficult. But overall i like this course and also Tensorflow.

The lecture was good. I hope an autograder implemented on the exercise problem and some assistant could be on the forum to clarify/answer the questions. Thank you.

It give the idea of how NLP works. It will be better if can explain more detail on the parameter in each tf class as sometime might be unclear for new comer to TF

I had a great experience with this course, the colab notebooks were especially insightful. I found the Quiz to be sightly lacking, they were a little too easy.

It's a useful course to start your way as a NLP developer. It focused on the recent most popular tools and methods, but I think the syllabus could be improved.

First 2 courses of this specialization were really good. This course was little less than what I expected. Maybe you can keep graded assignments like before.

I've learnt a lot of interesting things during this course.

I subtracted 1 star due to the missing links and notebooks. Please find some time to fix them.

Good. Basic concepts reviewed, some easy-to-understand applications. A little too fast on LSTM and RNNs, the architecture would deserve some explanation.

An adequate course that helped me understand more about NLP in tensorflow, in addition to the content provided in the deep learning specialization course

I'd like a bit more in depth (theoretical) discussion on embeddings, NLP, etc. I'm hoping the next Course (RNNs) gives more detail on the RNN, LSTM etc.

Explains all I needed to know to start with NLP in tensorflow but stays with basic knowledge. Further information sources are provided during the course

First two week was amazing! I did much work in Colab and started to memorize how to build a working model. On the third and fourth weeks, it was hard.