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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

27,112 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

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.

Feb 18, 2018

Loved the course - it was very interesting. It is also pretty complex, so will probably go through it again to review the concepts and how the models work. Thank you for this wonderful course series!

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2851 - 2875 of 3,221 Reviews for Sequence Models

By Nilesh R

Mar 20, 2018

Great content but I felt it was bit rushed and squeezed in 3 weeks .

By Alex M

Mar 14, 2018

The quality was a bit down but still very worthwhile and interesting

By Vivek K

Jul 20, 2018

Great practical experience. Would have preferred a bit more theory.

By Fady B

Jun 1, 2018

it covered a lot of interesting topics but it was a bit high level.

By Alireza S

Jun 18, 2020

great course to understand intuition of sequence modeling for NLP.

By guolianghu

Apr 5, 2020


By Bobby A

Jul 2, 2019

Well explained, I feel like it could go a bit more in depth though

By Martin T

Feb 13, 2018

Muy buen curso, resulta sumamente estimulante el ejemplo de woebot

By Vikas C

Jun 20, 2019

The good course as the theoretical basis for RNN and other models

By Shilpa S

Mar 18, 2019

Attention Models is not that clear. Everything else is excellent.

By Andres R

Apr 2, 2018

Excellent lectures. Some programming exercises need more clarity.

By Armand L

Apr 28, 2019

Very hard, but not your fault, very good course ! Thank you !!!!

By Julio T T

Sep 28, 2020

Exercises have less quality than the ones in previous courses.

By Josele F

May 29, 2019

El curso esta muy bien peor deben añadir subtitulos en español

By Marisa F

Nov 18, 2018

I think this course needs to have a continuation to go deeper.

By Alex N

Mar 27, 2018

Grader was wrong sometimes. Typos everywhere in the notebooks.

By muhammad A

Nov 15, 2020

awesome, but need more animation for understand general works

By Akshay g

May 14, 2020

Good course but can add more models to get a deep dive in NLP

By Xinyu Y

Jul 1, 2019

There is some noise in the video which is greatly disturbing.

By SeptemberHX

Jun 30, 2018

Maybe should give some advice about the future learning path.

By Vitor A

May 28, 2020

Great course focus on natural processing and music examples.

By Alvaro C

Jul 29, 2019

Much harder than previous ones, but also really interesting.

By Jedrzej P

Apr 29, 2018

Would have liked an example outside of nlp, otherwise awsome

By Anand B

Aug 20, 2018

Content is little less intuitive compared to other courses.

By Anugna R

Jul 15, 2020

codes are too long and it is taking time for codes to run