Several exercices do not work as described, with error messages.

Explanations of what we are doing are light.

Too focused on GCP. Could be more on DL itself.

This was a very interesting course on NLP and Time Series. My only concern is that some notebooks worked for python 2 mode and not for python 3. Also, the tensor 2 tensor lab could not be completed in 2 hours, as some of the training may take more than 3 hours to complete.

Overall, good information, great technology and great teachers.

Thank you.

Videos were too short. Explanations of the key concepts were really poor. Quiz in week 1 had error that was raised by the user 6 months ago and it is still not fixed. Coding section had library mismatch that led to errors. The presentation of the materials were good.

One star, but not to content. But because the course don't have "Audit" option. It's mean that after subscription ended and you received certificate, You can't more access to video material in course. When subscription active, You can use mobile application and download video material for studying offline. Before yours subscription ended, copy video material to safe place for later review.

p.s.

But the course content deserves a higher mark - 4-5 stars. As others courses in this specialization

No Doubt COURSERA is always best AND MNC like IBM,Google courses associated with coursera are MIND-BLOWING.

The Instructors are so great at Explanation Part that hardly anyone won't Understand All the Topics

I would love to thank all the INSTRUCTORS who created such a Awesome Content for us.

My Personal Ratings For All the Instructors: 100 / 100

Excellent course for those who know RNN. Knowledge is refreshed and techniques are consolidated. More details about Google ecosystem is introduced.

Subscribing to this course only gives you option to run assignments on Qwik labs, and they're very poor for these kinds of assignments. You won't get any feedback on assignments anyway since there is no grader.

If you want to check out the material it's better to just clone training-data-analyst from github and do these assignments on GCP free tier.

Maybe this course was too advanced for me. I did the other course on tf and that felt too easy. This was unreasonably hard. There was no explanations at all before labs and there were like 5 labs a week. how are we supposed to do them? i skipped nlp entirely, because i could not follow it at all due to zero guidance and explanations. The only skill i got from this course was to copy code from internet, but i could do it before

I really loved it!

Good

Great one!

Very good.The explanation of the RNN was very good but the tensor2tensor was very hard.

Excellent Sequence Models explanations and examples to learn from, I quite enjoyed all the fantastic tips and best practices recommended by Google, looking forward to the next course in the specialization.

Quite a challenging course so far.

this course is helpful for learning sequence data with tensor flow ,Thanks for this course

pretty great

Great way to practically learn a lot of stuff. Sometimes, a lot of it starts to go over head. But, it is completely worth the learning curve! Definitely recommend it!

Lot's of good information. I cannot wait to start using this knowledge. Thank you!

I like it because it is very relevant to my work. The dialogflow part is a bit weak. I am not sure if it is the product or the course.

Excellent coverage of a complex topic

First quiz is very bad

But totally the course is interesting and I like it :)

Very informative, very much useful to my ongoing work on NLP.

Very helpful but needs more in depth detail how attention works, how encoder/decoder trains and makes predictions

Though not focused on fundamental concepts, it's a great course to learn to use tensorflow and google cloud platform for sequence modelling.