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Comentários e feedback de alunos de Sequence Models da instituição

17,695 classificações
1,926 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


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.


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.

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201 — 225 de {totalReviews} Avaliações para o Sequence Models

por Joachim D

Feb 03, 2019

Great course, very clear presentation and interesting examples on how to prepare data and how to use keras. Very interesting on how easy it is to build & train complex networks with keras (once you have the data..)

por BingliangLan

Apr 03, 2019

Thanks for taking me to the NLP

por Ondrej S

Apr 03, 2019

demanding, but very insightful course.

por Anders A

Apr 04, 2019

The course is well thought and easy to follow. I regret not starting on this earlier in my quest to understand RNNs. It is the best source I found through shopping around. The courses is scheduled for three weeks, but is actually doable in an afternoon + a morning session if you have some python programming skills and enjoy 2x on your lectures. My one complaint is not with the course itself but the whole series. I mislike the subscription model for payments. I prefer a one time payment for life-time access.

por Frédéric M

Apr 04, 2019

Amazing course that uses current models such as attention!

por David

Apr 05, 2019

I endorse anything offered by Andrew Ng

por Haoqiu W

Apr 05, 2019

nice teacher

por Karel N N

Apr 05, 2019

Excellent courses, and a great teacher! Best regards and thank you very much!

por Shubham G

Apr 05, 2019

all course in this series is the best on its own like this also it has all knowledge we need to get going. thank you andrew sir and his team

por Mirzodaler M

Apr 06, 2019

Great course with modern approach. Appreciate it!

por SW J

Apr 06, 2019

Thank you for the excellent lecture.

Now I understand a little about machine learning.

Thank you.

por John B

Mar 31, 2019


por Matei I

Mar 31, 2019

Really good choice of topics, including state of the art tools like attention and word embeddings. Very useful, especially for those interested in Language Processing applications. However, the videos and assignments need some more careful editing, because there are occasional mistakes, lazy explanations etc.

por Dharanidaran

Mar 31, 2019

A must needed course to learn the concepts of Deep Learning.

por Hao D

Apr 08, 2019

the most difficult course of this series, it takes me really a long time to finish it, but i think it worth!

por Arthur C

Apr 09, 2019

Great explainer to many basic RNN models.

por Rajesh V

Apr 10, 2019

As usual, Andrew Ng made these concepts extremely accessible . A great learning experience !

por Yuri

Apr 12, 2019

I like the great approach to the tasks which are no way dull, but are really inspiring.

por Vaibhav C

Apr 12, 2019

Another great course by Andrew NG

por Lucifer Z

Apr 01, 2019


por Reina S

Apr 01, 2019

I understood LSTM concepts well thanks to the course. But explanation for equation is quick. I wanted to know the more details.

por Sebastian J M

Apr 15, 2019


por Sorratat S

Apr 15, 2019

Amazing course zero to hero, I can say !!

por Wei L

Apr 15, 2019



Mar 12, 2019

thank you andrew ng you are the best teacher in all the world i'm very happy to study with you chaker from tunisia all my colleague love you