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Learner Reviews & Feedback for Sequence Models by deeplearning.ai

4.8
stars
23,624 ratings
2,742 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

WK

Mar 14, 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!

JY

Oct 30, 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.

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2626 - 2650 of 2,723 Reviews for Sequence Models

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 06, 2018

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

By Pankaj R

May 08, 2018

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

By Gargi V

Feb 07, 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!

By Shengyu H

Feb 06, 2020

Contents are way too easy and the video recordings are often a bit broken (repetition, blank audio, etc.)

By Alexander B

Feb 14, 2018

incredibly boring. I mean at some task you literally asked to type in "= False" instead "= None". Really?

By Jinxi W

Feb 20, 2018

There are some mistakes need to be correct in the assignments. Still a lot of improvements can be made.

By Yao G

Sep 12, 2018

The assignments should be improved. More prep on Keras will help improve the efficiency of learning.

By Benoit D F

Mar 19, 2018

Very interesting topic but coding exercices and quizzes were a bit clunky and in need for ironing

By Andrei M

Jun 18, 2018

The content is super interesting, but the assignments are more of the same 'fill in the blank'.

By Lars O A

May 29, 2018

Put to much focus into getting the Keras code to work instead of truly learning the algorithms.

By Nagaraj R

Jan 23, 2019

I found this very hard to follow along. The concepts were too heavy and needs a slower pace.

By Sidharth S

Dec 23, 2018

Really Nice course. Could have been more fun if Keras and it's functioning had more focus.

By Uttam r

Mar 26, 2018

Course is got but grader compilations are horrible spent more time on them than the course

By Juan I G P

Mar 13, 2019

Not as good as structured in explanation nor in programming assigments as the last ones.

By Mohsin J

Jun 07, 2018

This is only good enough, not good course. All previous ones were 5 stars, definitely!

By Thomas P

Apr 09, 2020

Overall a great class. I had some trouble understanding the programming assignments.

By Archana A

Oct 07, 2019

This felt the the least prepared and organized course of the series, unfortunately.

By Tushar B

Jun 12, 2018

Issues with assignments. Took more than 4 hours to figure out the problem.

By Saeif A

Jan 03, 2020

This was the least clear course among the others. The others were great!

By Ragav S

Sep 18, 2019

Would like to learn a bit on how back-prop works when using attention.

By Gaetan J d B

Jun 17, 2019

fairly more complex and deeper as previous courses. Nice ex. however.

By Yun W

Apr 06, 2019

I feel this course is not as carefully designed as previous courses