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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
25,324 ratings
2,977 reviews

About the Course

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization. deeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content....

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.

AM
Jun 30, 2019

The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.

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2826 - 2850 of 2,952 Reviews for Sequence Models

By Kaupo V

May 7, 2018

The Keras programming exercises are quite weak. Please re-think how to teach them more systematically. Currently it is quite a lot of hit and miss.

By Leandro A

Mar 18, 2018

There was a bug in a programming assignment notebook that took too much time to notice that i was doing ok but the expected ouptut was wrong

By David H P

Apr 2, 2018

The programming assignments required some extra effort to understand Keras which I thought may need an introduction video like tensorflow.

By Iván V P

Feb 18, 2018

Several grader issues, only 3 weeks of work, and a lot of errors in the solutions... In addition, less content than in the other courses...

By Rishabh G

Sep 19, 2020

The earlier courses were easy to understand, however, this was way too difficult. Andrew Ng did not make this easy like the other courses.

By Hang Y

Aug 24, 2018

Compared with previous courses, this one seems to be rushed. The focus on applications seems to be much higher than the theoretic side.

By Yash R S

May 9, 2018

Not as great as the other courses in the specialisation. The assignments can be a little off putting, but lectures are top class again.

By Roberto S

May 12, 2020

Week 1 took double time to be completed. Times proposed for the assingnement are underestimated.

Please readjust the assingement time.

By Ankit S

Jul 17, 2018

Assignments are not up t the mark.. Expected to have high vocabulary size word embedding assignment, Machine Translation assignments

By Nachiketa M

Feb 16, 2018

This course was good but in comparison to the other courses in the deeplearning course series, this course lacked adequate depth.

By 1140325971

Jan 23, 2020

The course is a good course because the lecture Ng.W ,but the exercises is not easy for our beginers for such tools like kears.

By Seng P T P P

Nov 8, 2019

The programming assignments in this course are difficult to implement. The detail descriptions are needed inside the notebooks.

By Thomas N

Mar 9, 2018

Good subject, but a lot of the course material (like lecture slides and problem sets) was either unavailable or out of date.

By Vinjosh V

May 11, 2020

The videos are great - however it would be useful to provide some help on how to implement the concepts programatically.

By Søren M

Feb 16, 2018

Not as good as the previous courses in the series, and some of the assignments where broken, and super hard to debug.

By Devansh K

Sep 20, 2020

The content covered is interesting, but I feel like the explanations are not as intuitive as the previous 4 courses

By Sandeep P

Jul 27, 2020

Nice but little stressful. After completing 5 courses in a row, really feeling exhausted. Thanks for the good work.

By Rudolf S

Jul 15, 2019

Quite a lot of bugs in the first week examples. It took me too much time until I browsed the discussion forums.

By SHALEEN A

Oct 3, 2020

the videos are programming assignments need some serious updates, too many typos and wrong information present

By Maysa M G d M

Jun 25, 2018

I think you have to know more keras than is explained in the course. The keras documentation it is not enough.

By Raghav G

Jul 13, 2020

An average course, it is detailed though some of the ending materials get too difficult for me to comprehend.

By Michael K

Aug 6, 2018

Assignments are very buggy and instructions misleading or incomplete. However the core material is excellent

By Pankaj R

May 8, 2018

Require a little depth, considering the complexibility. At least 4 Week course should be their instead of 3

By Gargi V

Feb 7, 2020

There were a lot of issues with the notebook especially, for the week 3. The concepts were well explained.

By Mikko L

Apr 14, 2018

Would have required more of the "intuition" building material. Worst of the 5 course series, but still ok!