The course was really straightforward, but the assignment hits was not really helpful.

Decent introduction but the material presented needs more time and training to absorb.

Too many errors are in assignments. Also, Some APIs from Keras are not well explained.

The assignment code instructions (specifically the code comments were very confusing).

it was hard to catch up to all the new stuff, but as a first step, it's not that bad.

I feel the programming assignments should be revised. I have encountered many errors.

There were a couple of problems with the grader that made this course less enjoyable.

Missing the notes in between the videos like in the Intro to Machine Learning course

some of the auto graders were a bit buggy, but overall loved the course and material

Nice content. Spend some time on homework since I'm not very familiar with keras.

coding style is out-of-date. Could the TA update the coding homework regularly?

I wish there was a more thorough tutorial on the Keras programming environment.

Another awesome course. But I feel Word Embeddings part could have been better.

A very good course in terms of application , again Dr. Ng did an excellent job

This is amazing course with much more interesting labs and practical examples

The course is great but I was hoping to have a part about time series inside.

Few bugs with some jupyter notebook assignments, otherwise ... great course!

It's pretty difficult for me, but I learn a lot of knowledge in this course.

Great Course on giving an Introduction to RNN and basic NLP architectures !!

Please allow students to complete assignment from scratch. Without any help.

A lot of spoonfeeding. Stuck at optional exercises and a lot of wasted time.

More exemple than Only NLP would have been nice ! But overall a great course

This is a good course. However, this topic deserves much more detailed work.

The week4 on transformer is rushed and rough. Overall ,it's a good course.

The most difficult of the series. Yet I enjoyed learning so many new things