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.

nice and informative.can be improved with adding some understanding of RNN CNN LSTM in details

Great introductory course to learn the application of TensorFlow with Keras in the area of NLP.

Really good introduction to NLP. Lack of exercise assignments to pass a milestone for a minus.

They are course is well oriented for beginners. But no so much explanation provided for models

I, as a learner, wish if there was any graded practical exercises like the previous courses!

Week 3 codes (given at the end, trying multiple models on ) are not properly understandable.