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Comentários e feedback de alunos de Sequence Models da instituição

25,857 classificações
3,043 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

29 de Out de 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.

13 de Mar de 2018

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

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2601 — 2625 de 3,018 Avaliações para o Sequence Models

por Paulami D

12 de Mar de 2018

This was the toughest one of the 5. Great learning, but may be it could've been made a tad bit more intuitive

por S A

2 de Jul de 2018

The quiz section needs to improve. It would be helpful that notes be also given as an outline of the ppts.

por Aleksandar B

20 de Mai de 2018

A bit too much material without going in depth anywhere. Also, code-grader sometimes behaves very strange

por Kiran S

4 de Fev de 2019

Some inconsistencies with the HW level (week 2 basically told you what to write) but very good lectures.

por Brandon C

11 de Dez de 2018

Keras exercises tough to get through based on provided information, but the content was superb as always

por Paul H C

19 de Nov de 2018

Really good course. Exercises are not always connected to the core of the deep learning problem though..

por Sharon M

19 de Set de 2019

The course is great , in the assignments it is better to stick to single package and TF is preferable.

por Jorge L G

29 de Jan de 2019

Highly recommended course to understand the concept of speech recognition models, very real use cases.

por Fabrizio B

4 de Jun de 2020

Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization

por Zhiliang W

25 de Jan de 2019

Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.

por Yixuan Z

24 de Ago de 2020

Some concepts need to be explained more detailed, otherwise I feel hard to keep up with the lecture

por Zhao C

19 de Abr de 2019

Great class. However, they are some typos/mistakes in the explanations of programming assignments.

por Amiya M

21 de Out de 2018

learned a lot but I wish their should be some sort of referencing material for further exploration

por Alex R

25 de Fev de 2019

Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.

por MD Q A

9 de Abr de 2018

more excercise should be there in last course, but overall content was very good

thanks Andrew ng

por M S S

13 de Mai de 2018

The Attention model still needs more explanation. I haven't completely grasped attention models

por Jon-pierre H

27 de Fev de 2018

More errors than most in the projects. Likely due to the rush of getting this final course out

por Lee H H J

13 de Jun de 2020

Very good course, informative and easy to follow. Only problem I had is with its auto grader.

por Nojus D

12 de Jul de 2020

Really good course but compared to others optional assigments lack instructions in this one.

por Alex F

7 de Abr de 2019

My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!

por Phuong-Khanh H

22 de Ago de 2018

The course is of high quality. However, it is not as good and clear as the previous courses.

por Wes H

15 de Abr de 2018

Content needs a few improvements in quality but otherwise a valuable and instructive course.

por harm l

19 de Fev de 2018

Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.

por Osvaldo R

1 de Jul de 2020

The practice was more guided than other courses. Felt that the Coursera team did all for me

por Cze H Y

16 de Ago de 2018

Perfect course except there are are some mistake/ambiguous instruction in course assignment