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

Good content. But there was no graded lab and audio quality of the videos is very very poor.

Concepts are explained less as compared to a great course on convolutional network course-2

I wish there are more hands-on practice projects and more explanations of the NLP concepts.

some broken links and about 20-30% of the colab linked work books don't run out of the box

i was hoping to go more into details about building Transformer for RNN using TensorFlow