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Learner Reviews & Feedback for Sequence Models by deeplearning.ai

4.8
stars
24,603 ratings
2,871 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!

AM

Jul 01, 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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2426 - 2450 of 2,847 Reviews for Sequence Models

By Holman B

Mar 15, 2019

Had some issues related with the jupyter notebook. Sometimes I had to restart the kernel to get the keras model working

By Anand S

May 07, 2020

I think a totally different course for NLP & CNN neeeds to be rolled out including their implementation in tensorflow.

By Marcin K

Sep 30, 2019

Last notebook causing server problems. Large amount of material (theory) covered by compressed programming excercises.

By Naveen K m

Jul 07, 2019

Great course content and well explained by Andrew, looking forward to apply the learning to solve real world problems.

By Agustín D

Apr 10, 2018

Some items on the assignments were confusing or misleading. But the content of the course was rich and well explained.

By Paulo S

Mar 09, 2018

Excellent course. It would be better, however, if I could easily download the course slides and notes for quick recap.

By Jérémy M

Jun 06, 2020

Really nice course but some programmation exercises isn't well built. (Compared to the other courses of this section)

By Niranjan K

Apr 28, 2020

Week 3 last assignment must be improved.I faced a lot of problems related to submission.All other aspects are amazing

By Li P Z

Jan 03, 2020

Excellent as usual, but not quite up to the usual standards, I felt some of the lectures and exercises were rushed...

By Vincent P

Oct 16, 2019

Cool exercises and good explanation, just too much focus on text mining and too little on actual RNN's if you ask me.

By Václav R

Aug 05, 2019

Nice intro in recurrent neural networks.

I'd prefer more focus on why the architectures are designed the way they are.

By Scott R

Mar 16, 2018

I would have liked to have had an assignment covering beam search but overall it was excellent introduction to RNNs.

By Lin Y

Mar 14, 2018

overall it's great, but I think this course is a little bit high level on RNNs, I expected more content on GRU/LSTM.

By Andrey S

Feb 21, 2018

Great course but it took them forever to finally open it.

The course also has issues with submitting last assignment.

By NIKHLESH P

Aug 17, 2020

Text Processing exercises should be added. Most of the examples are from image and speech. Overall good experience.

By Sachin k

Jul 08, 2019

Great Course. But could improve on explanation part. And could teach more about architectures such as LSTM and GRU.

By Tianpei X

Feb 13, 2018

Great course ! However, there are several errors in the project assignments and it has been delayed for two months.

By Cameron W

Sep 17, 2019

I felt like important concepts were glossed over far more in this course than previous courses in this curriculum.

By Pengfei J

Feb 23, 2018

The update and correction of error should be more effectively and actively managed. That's the only error so far.

By Andres F O J

Aug 29, 2020

The assignments should be after each topic or lecture because in the end is difficult to enhance the knowledge.

By Claus E

Apr 29, 2020

Good course, but the errors in the last exercise was annoying and I missed a bit more about speech recognition.

By Adam

Apr 11, 2020

Only complaint is that the exercises are too easy when all answers are practically given in the hints section.

By Jan Z

Feb 23, 2018

Interesting topics but some fairly frustrating assignments. Happy to get a better understanding of NLP though!

By Abdoulaye D

Jun 14, 2020

Super excited to finish this course. I've tone of questions not answered in forums I'm still waiting answers.

By Paulami D

Mar 12, 2018

This was the toughest one of the 5. Great learning, but may be it could've been made a tad bit more intuitive