The first two courses of the series were awesome, but this course is quite a let down imo. There is no graded lab, the content feels pretty rush and it feels quite lacking

No final assignments, therefore very easy to workthough from a high-fly-perspective. If you want to learn a lot, not very helpful. If you want to get a overview its nice.

Good course to introduce to the NLP world, but it lacks explanations, so you have to complement this with other sources even for understanding what you are doing here.

Very superficial and requires no exercise to be solved so it is up to you to learn anything.

There are many topic that feel unfinished, many examples that are unsolved.

There were some prerequisites of the course related to deeplearning, which should have been known, then the course would have been understood better.

This course was really useful. You always work from a practical point of view, although there are not enough exercises to acquire a remarkable ease.

I was expecting a complete course to master tensorflow but Laurence barely taught tensorflow in this specialization. It was more of introduction.

This course is great for overview, but the examples were too few and lack mandatory assignment which can provide me an objective to learn more

There weren't any graded Exercise like other courses, which would've made us think a lot more.

I hope they add graded exercise to this course.

The course is too simple and doesn't cover topics deep enough. I suggest adding more practical assignments and explaining LSTM, Embedding etc

Introduction to calling the different functions is fine but there could be more focus on choosing parameters. The course feels too shallow.

It's shallow, does not explain some important concepts. Seems like it was explained on a rush, or didn't bother going more into detaisl.

I would like to implement programming exersice with rate because you can discuss with all the community and you enrich your knowledge.

Tutorials are difficult to navigate. Information about how to code is quite good. Hope they can improve their tutorial sections

Good high level understanding of NLP, but not great implementation explanations and almost all of the links lead to a 404 error

Good starter course for NLP with Keras. But, I'd say doing Sequence Models ie C5 of the Deep Learning specialization is a must!

Please make the "Ungraded assignment" Graded and add more comments/directive in them to make sure we understand each steps.

This course shows the tools used for NLP in Tensorflow, it would benefit only those who have basic knowledge of NLP.

It's ok and certainly takes less time than expected, but it's a shame that there are not coding graded exercises.

I feel that the course content is lacking in depth. Usually a week of materials can be finished in a few hours.

Detailed Description is still missing, makes you sometime to google and find the exact understanding.

Homework was almost not existent. Notebooks provided had several mistakes in them. I expected more.

The course is overall good . If you are proficient in python then it would be very easy for you.

The exercises are not well designed: instructions are not clear and the results are not graded.

Good teaching but a tough course to understand . good that there is no graded coding assignment