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Comentários e feedback de alunos de Sequence Models da instituição

26,126 classificações
3,080 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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2651 — 2675 de 3,051 Avaliações para o Sequence Models

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

por Tshepiso

5 de Abr de 2020

Great course. Would like it if he kept his notation consistent with what is in the papers.

por Sven S

9 de Ago de 2019

a lot to learn, content is well presented as usual. one of the assignments requires rework

por 朱涧江

20 de Mar de 2018

Seem like not as good as before course,Wait so much time but is not clear as course before

por Sarang P

17 de Nov de 2020

Trigger word detection assignment notebook has some bugs. Had a hard time submitting it

por Glorian Y

30 de Out de 2019

There are many bugs in the assignment. Else, the material content and videos are great!

por Ryan B

19 de Mar de 2019

Really good but I guess you should teach more about how to apply all these models more.

por Zhe C

4 de Nov de 2018

Too many errors are in assignments. Also, Some APIs from Keras are not well explained.

por Ankoor B

21 de Fev de 2018

The assignment code instructions (specifically the code comments were very confusing).

por Moustafa A S

22 de Jun de 2020

it was hard to catch up to all the new stuff, but as a first step, it's not that bad.

por Ming M

14 de Jan de 2019

I feel the programming assignments should be revised. I have encountered many errors.

por Hector M

19 de Fev de 2018

There were a couple of problems with the grader that made this course less enjoyable.

por Javier L P

17 de Abr de 2020

Missing the notes in between the videos like in the Intro to Machine Learning course

por Keith l

12 de Set de 2018

some of the auto graders were a bit buggy, but overall loved the course and material

por bangdasun

19 de Fev de 2018

Nice content. Spend some time on homework since I'm not very familiar with keras.

por Yu L

21 de Mai de 2020

coding style is out-of-date. Could the TA update the coding homework regularly?

por Boyu L

15 de Mar de 2018

I wish there was a more thorough tutorial on the Keras programming environment.

por Saurabh

11 de Fev de 2018

Another awesome course. But I feel Word Embeddings part could have been better.

por Moustapha M A

14 de Mar de 2018

A very good course in terms of application , again Dr. Ng did an excellent job

por Umair

27 de Nov de 2020

This is amazing course with much more interesting labs and practical examples

por Kevin H

8 de Mar de 2019

The course is great but I was hoping to have a part about time series inside.

por 林昌璟

27 de Dez de 2020

It's pretty difficult for me, but I learn a lot of knowledge in this course.