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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
27,116 ratings
3,227 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

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.

SD
Sep 27, 2018

Great hands on instruction on how RNNs work and how they are used to solve real problems. It was particularly useful to use Conv1D, Bidirectional and Attention layers into RNNs and see how they work.

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2751 - 2775 of 3,221 Reviews for Sequence Models

By Qiang C

Feb 26, 2018

The low-level framework, such as torch, should be used in the assignment. keras is complicated to understand for newbie.

By Anxo T A

Nov 22, 2020

Great course, specially the programming assignments, they help much mor than the videos to undertand the core concepts.

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 7, 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 7, 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 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!