Natural Language Processing with Attention Models
DeepLearning.AI · View on Coursera ↗
Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu
Data ScienceComputer Science
About the course
In Course 4 of the Natural Language Processing Specialization, you will: a) Translate complete English sentences into Portuguese using an encoder-decoder attention model, b) Build a Transformer model to summarize text, c) Use T5 and BERT models to perform question-answering. By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, and created tools to translate languages and summarize text! Learners should have a work
The dissent
The most-upvoted critical review (133 votes, 1.0★).
“The concept is not clearly explained at all. The instructor seems to be just reading a script. He did not try to explain the math. Instead, he uses graphs to try to fool us. The other instructor hardly teaches anything but just to show his face and say a few openning setences. I took Andrew Ng's courses and was impressed, but I am very disappointed by the quality of this course. Deeplearning.ai, please have some quality control over the courses you offer, otherwise it hurts your brand name!”
Coursera's 4.4 comes from 1,103 ratings. Of those, 8.7% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗