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Comentários e feedback de alunos de Sequence Models da instituição deeplearning.ai

4.8
estrelas
25,368 classificações
2,984 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. deeplearning.ai 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

AM
30 de Jun de 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.

JY
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.

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2876 — 2900 de 2,958 Avaliações para o Sequence Models

por Ragav S

18 de Set de 2019

Would like to learn a bit on how back-prop works when using attention.

por Gaetan J d B

17 de Jun de 2019

fairly more complex and deeper as previous courses. Nice ex. however.

por Yun W

6 de Abr de 2019

I feel this course is not as carefully designed as previous courses

por mayukh m

16 de Abr de 2020

Trigger word detection - v1.ipynb bug is annoying. Course is good.

por yuichi k

27 de Jul de 2020

ほぼ英語、プログラムの課題の問題を解決するのが非常に大変だった。bugも多いのでこなすのは苦労した。ビデオは相変わらず素晴らしい

por Prateek S

22 de Abr de 2020

Good Course but lectures and assignments could have been better.

por bernd e

10 de Mar de 2018

Should be five weeks instead of three. Dive deeper into Details

por Ar-Em J L

30 de Out de 2019

One of the weaker courses in the specialization. Felt rushed.

por Danilo G F R

5 de Fev de 2018

Assigments too complicate without a necessary guide and help.

por Morgan H

15 de Nov de 2020

Less clear instruction than other courses in specialization

por André T D S

1 de Out de 2018

Bugs in the programming assignments grading kills the flow

por Rajarshi K

30 de Mai de 2020

This course was comparatively boring than previous 4 ones

por Santosh B

19 de Fev de 2019

I felt the last week had too many things packed together

por Shrishty C

6 de Jul de 2018

Was little hard to understand at times. But it was good.

por Konpat P

16 de Fev de 2018

Not as well done as before. But, still very informative.

por Edoardo B

15 de Nov de 2019

Doesn't teach much about keras which is sorely needed

por Rajesh R

25 de Fev de 2018

GRUs are poorly explained. Unable to get past Week 1.

por Kenzi L

19 de Jul de 2020

a bit outdated due to lstm being not that s-o-a now

por karishma d

20 de Jun de 2019

very basic ..would have wanted much advance level .

por Saumya T

9 de Jun de 2019

Codes are not explained. Some codes files are given

por Sravan

19 de Abr de 2019

Works as a primer. Assignments aren't that great.

por Jerry Z T

18 de Ago de 2020

The learning embedding part is kindof confusing

por Abhishek S

15 de Jun de 2020

Great course but has been dumbed down too much

por Yue

26 de Abr de 2019

Esperaba que los ejemplos fueran de otra forma

por Jazz

10 de Out de 2019

Should add some instruction videos of Keras