Very light on the brain. But all the models like an RNN, LSTM were covered. I wish there was more detail on the theoritical aspect as well.

The course was really nice and well explained. But I felt weekly programming assignments missing. That could add more value to the course.

I think you should include also in this course some graded progamming assigmnemts.

Those tasks realy help to increase the understanding.

Good course. Taught a lot about natural language processing. You should know how machine learning works in order to take this course.

It's complemented by Andrew Ng course on CNN. Not 5 stars because I felt that I had to jump to many concepts into the other course

This course is very basic with regards to Natural Processing I felt like but good at giving a structure to use TensorFlow

Detailed Explanation of the NLP and some problems related to it.But did expected more focus on the over-fitting problem.

Nice courses. Include embedding, RNN, LSTM, CNN ,GRU. It's better to have seq2seq, attention and more advanced model.

It would be nice to have the final programming exam as same as the first 2 courses, which is evaluated by the system.

This course teaches you how to prepare text, embedd, classify, and predict with lstm, gru or cnn. It is fun and easy.

I did NLP previously (poem generator), this task is like MNIST for NLP, maybe try to add something more interesting?

Good intro to NLP. It would be even better if instructor explains concepts like LSTM, Adam Optimiser, DropOut, etc.

It was an amazing course. However I would like to improve using other languages for example in spanish the corpus.

Really nice course . Gives you a fundamental understanding of NLP covering theory as well as practical experience.

Its great to learn with examples with their explanations and gives hands on experience with the assignments.

The course is very good, but the assignments are either way too easy or don't have a clear objective/tasks.

Its would have been better if you have explained each model, for those who didn't take previous courses.

Great course that combines NLP, ML, and Tensorflow. The examples used do illustrate the concepts well.

Some video volumes are too soft, but the course material is overall well prepared for study purposes.

Notebooks to test at the end, like were In the other previous two courses, would make this better.

i would have liked a more interactive course, like in the first one course of this specialization.

Was an easy course, but rich in content. I would like to have more programing personal practice.

Course helped to learn using tf, keras for NLP. Google Collab interface was not much responsive.

Some database and some exercise were not

thoroughly checked but the information is still optimal

A nice walk-through of sequential modeling while it only takes you just an instant to complete.