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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
26,436 ratings
3,120 reviews

About the Course

In the fifth course of the Deep Learning Specialization, you will become familiar with NLP models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and more that have become possible with the evolution of sequence algorithms thanks to deep learning. By the end, you will be able to build and train Recurrent Neural Networks and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. DeepLearning.AI is proud to partner with NVIDIA Deep Learning Institute (DLI) to provide a programming assignment on Machine Translation with Deep Learning. Get an opportunity to build a deep learning project with leading-edge techniques using industry-relevant use cases. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

JY
Oct 29, 2018

The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.

WK
Mar 13, 2018

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

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2676 - 2700 of 3,090 Reviews for Sequence Models

By M S S

May 13, 2018

The Attention model still needs more explanation. I haven't completely grasped attention models

By Jon-pierre H

Feb 27, 2018

More errors than most in the projects. Likely due to the rush of getting this final course out

By Lee H H J

Jun 13, 2020

Very good course, informative and easy to follow. Only problem I had is with its auto grader.

By Nojus D

Jul 12, 2020

Really good course but compared to others optional assigments lack instructions in this one.

By Alex F

Apr 7, 2019

My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!

By Phuong-Khanh H

Aug 22, 2018

The course is of high quality. However, it is not as good and clear as the previous courses.

By Wes H

Apr 15, 2018

Content needs a few improvements in quality but otherwise a valuable and instructive course.

By harm l

Feb 19, 2018

Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.

By Osvaldo R

Jul 1, 2020

The practice was more guided than other courses. Felt that the Coursera team did all for me

By Cze H Y

Aug 16, 2018

Perfect course except there are are some mistake/ambiguous instruction in course assignment

By Tshepiso

Apr 5, 2020

Great course. Would like it if he kept his notation consistent with what is in the papers.

By Sven S

Aug 9, 2019

a lot to learn, content is well presented as usual. one of the assignments requires rework

By 朱涧江

Mar 20, 2018

Seem like not as good as before course,Wait so much time but is not clear as course before

By Sarang P

Nov 17, 2020

Trigger word detection assignment notebook has some bugs. Had a hard time submitting it

By Glorian Y

Oct 30, 2019

There are many bugs in the assignment. Else, the material content and videos are great!

By Ryan B

Mar 19, 2019

Really good but I guess you should teach more about how to apply all these models more.

By Zhe C

Nov 4, 2018

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

By Ankoor B

Feb 21, 2018

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

By Moustafa S

Jun 22, 2020

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

By Ming M

Jan 14, 2019

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

By Hector M

Feb 19, 2018

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

By Javier L P

Apr 17, 2020

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

By Keith l

Sep 12, 2018

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

By bangdasun

Feb 19, 2018

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

By Yu L

May 21, 2020

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