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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
27,231 ratings
3,246 reviews

About the Course

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) 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. The Deep Learning Specialization is a 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 take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

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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2776 - 2800 of 3,242 Reviews for Sequence Models

By Paulo S

Mar 8, 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 6, 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 2, 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 5, 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 20, 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 8, 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 16, 2019

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

By Pengfei J

Feb 22, 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

By Tung V t

Nov 28, 2021

the course is very comprehensive however more details about how backpropagation is done would be great !!!

By S A

Jul 2, 2018

The quiz section needs to improve. It would be helpful that notes be also given as an outline of the ppts.

By Aleksandar B

May 20, 2018

A bit too much material without going in depth anywhere. Also, code-grader sometimes behaves very strange

By Kiran S

Feb 4, 2019

Some inconsistencies with the HW level (week 2 basically told you what to write) but very good lectures.

By Brandon C

Dec 11, 2018

Keras exercises tough to get through based on provided information, but the content was superb as always