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Comentários e feedback de alunos de Sequence Models da instituição

18,120 classificações
1,964 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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301 — 325 de {totalReviews} Avaliações para o Sequence Models

por Frank H

Feb 21, 2018

Good course, thanks for teaching me so great knowledge of AI

Thanks a lot

por Arun K S N

Mar 27, 2018

Yet again Andrew Ng explains complex topics related to Sequential models in a much easier and understandable way . Barring few problems with the assignments and missing overview on Keras , overall course is a good one

por Chad B

Mar 10, 2018

Course content was great. Excellent content and pretty up-to-date material. The programming exercises had very cool examples, but sometimes it was unclear how to construct code (lots of web searching).

por Herman A

Jun 22, 2018

Very informative!

por Putcha L N R

Apr 07, 2018

The best thing I ever invested my time on! Thank you Andrew Ng!

por Keerthivasan A

Feb 19, 2018

I've tried learning RNN through various blogs and channels. But, this course stands top of all.

por Nitesh U

May 12, 2018

This course is amazing. Assignments are very helpful

por Jinil C S

Feb 28, 2018

Awesome course

por StudyExchange

Feb 26, 2018

Thanks, Good course!

por Keith L

Mar 14, 2018

I believe it is the hardest concept throughout this course but Andrew explained it clearly and it is easy to understand.

por Deepak K S

May 06, 2018

Great Course!!

por Masud K

Apr 16, 2018

More! More Courses! More depth, more concepts, more!!! Also, do decision trees and gradient boosted decision trees.

por Jamal A

Apr 04, 2018

Learnt a lot! Great effort by Prof. Andrew NG, highly recommended.


Feb 11, 2018

Excellent Course.Flawless Teaching.

por Omid A A

Feb 18, 2018

I have not seen a better video tutorial for sequence models. I definitely recommend this course and specialization for those who would like to work with deep learning models.

por David G

Feb 08, 2018

Thank you Andrew for sharing all these great and latest staff in the AI Deep Learning field. Fantastic course. Will recommend it to all my IT staff.

por John E B

Mar 07, 2018

Very interesting! Only thing is perhaps a better introduction to Keras functional API.

por Ram R

May 20, 2018

Great course! THanks for putting this together for the world to learn!

por Sandeep P

Jun 27, 2018

An excellent introduction to the theory and practice on recurrent deep neural networks. Great usage of all the 4 courses in this series to culminate with this course as a great finish to deep learning theory and implementation.

por Niteesh T

Feb 08, 2018

Best Ever

por Mrigank T

Feb 22, 2018

Just awesome! I am very thankful.

por Jesús P S

Mar 26, 2018

A really good course! However it can go deeper with other type of timeseries problems :)

por Tshephisho J S

Apr 26, 2018

This course is best in learning sequence models applied in speech and natural processing systems.

por Athul R

May 31, 2018

This course is Very structured, concise and organised. I really enjoyed this course especially the Attention Mechanism in the Neural Machine Translation. Also the the trigger word assignment was both enjoyable and insightful. Thank you so much Andrew Ng

por Brett W

Feb 23, 2018

A great course. Well thought out with some challenging projects. Although I would have liked some primers on Keras.