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Comentários e feedback de alunos de Sequence Models da instituição

18,174 classificações
1,965 avaliações

Sobre o curso

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. 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....

Melhores avaliações


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.


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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226 — 250 de {totalReviews} Avaliações para o Sequence Models

por John E S

Dec 24, 2018

Great lectures. Well thought out quizzes and exercises. The only negative point is that the exercises are too easy, they spoon feed too much of the code.

por CUI

Feb 03, 2019

great courses, big thanks to Andrew Ng

por Kak S

Jan 20, 2019

Great and excellent

por Lucas G S P

Jan 21, 2019

I appreciate all the hard work and effort Andrew and his team puts in all his material.

I had hard time with most of Keras homework’s, I think it's hard to get the overall logic of a framework without an extensive explanation.

Besides that, the topics discussed are amazing.

por Aleksa G

Jan 20, 2019

I really liked this last course as I did not have much experience with NLP and with audio in general, as I did have with computer vision and image processing. The keyword detection model is really cool! After this specialization I am starting to build my own ML projects!

por Fernando H F

Jan 21, 2019

Great course! Andrew is great in explaining complex definitions with simple and understandable explanations. The course goes deep in multiple applications of Sequence Model for Time Series Data, and the programming exercises are challenging and rewarding.

por Gordon W

Jan 21, 2019

Thank you very much Andrew and TAs.

por Jaime R

Dec 08, 2018

Everything you should know about Recurrent Neural Networks with some impressive demos

por Vinay M

Dec 08, 2018

The best course of the specialization

por Junfei S

Dec 10, 2018

The course content is great overall! The only thing I am a little unhappy is that one or two of the programming exercises have confusion instructions. But finally I made it under the help of peers on the discussion forum.

por Harold L M M

Dec 10, 2018

This Sequence Models and RNNs course was a very challenging course in the specialization similar to that of Convolution Networks. I've learned a lot on these topics, and I will continue expanding my knowledge from here on.

Overall, this is a great and complete specialization on Deep Learning.

Thank you professor Andrew Ng.

por 陈辉

Dec 10, 2018

虽然后面的课程准备没有machine learning 那么充沛,但是依然是很好的课程

por Jiandong S

Mar 09, 2019

It took me a longer time to finish the course due to busy schedule. But I found it totally worth the struggle to work on the course material. Sequence modeling and processing is an new area to me. The course taught me some basic concepts and gave me a chance to lay hands on through programming exercises. I feel a lot like the topic particularly NLP. Thanks!

por Justin T

Mar 09, 2019

Great help by the mentors and community. Learned a lot here.

por Zifei S

Feb 13, 2019

Great course teaching state-of-the art NLP technologies. I wish the attention notebook could be improved, and the projects could get more flexible and in-depth. I also wish there could be a Keras tutorial that gives an overview of the framework.

por Youssef A S T

Feb 13, 2019


por 梁礼强

Feb 13, 2019

Andrew is cool!!Nice course!

por Zoheb A

Feb 26, 2019

Assignments of this course are best.

por Yehua Y

Mar 11, 2019

thanks god, i have finished all the courses.I love it,thanks Pro. Andrew Ng, thanks all!

por Sarfaraz K

Feb 26, 2019

Awesome course, no other online course can match the depth and breadth of the content. State of the art information and super useful and practical assignments.

por Bayartsogt Y

Mar 10, 2019

That was such as fun! Thank you so much!!!

por Lin Z

Feb 26, 2019

Very useful and practical!

por Mohamad K

Feb 26, 2019

Prof Andrew such a great person. He teaching from the heart where 99 % of Prof not doing it today.

He summarized Deep learning+ Computer vision+ NLP in easy way. I am thankful for Coursera and Prof Andrew. I strongly recommend this course and all his courses to everybody .

por pengren

Jul 16, 2018

A very helpful basic class :D

por Alexey K

Jul 15, 2018

Best course of an amazing series! Sums up every bit to complete the picture.