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

4.8
estrelas
25,099 classificações
2,942 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

JY

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.

AM

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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2826 — 2850 de 2,915 Avaliações para o Sequence Models

por Juan I G P

Mar 13, 2019

Not as good as structured in explanation nor in programming assigments as the last ones.

por Mohsin J

Jun 07, 2018

This is only good enough, not good course. All previous ones were 5 stars, definitely!

por Thomas P

Apr 09, 2020

Overall a great class. I had some trouble understanding the programming assignments.

por Archana A

Oct 07, 2019

This felt the the least prepared and organized course of the series, unfortunately.

por Sebastien C

Aug 18, 2020

Good theoretical overview - project just require you to fill in lines of code

por Samit H

Aug 18, 2020

I found this course boring and also too many assignments in a single week.

por Tushar B

Jun 12, 2018

Issues with assignments. Took more than 4 hours to figure out the problem.

por Saeif A

Jan 03, 2020

This was the least clear course among the others. The others were great!

por Ragav S

Sep 18, 2019

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

por Gaetan J d B

Jun 17, 2019

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

por Yun W

Apr 06, 2019

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

por mayukh m

Apr 16, 2020

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

por yuichi k

Jul 27, 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

Apr 22, 2020

Good Course but lectures and assignments could have been better.

por bernd e

Mar 10, 2018

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

por Ar-Em J L

Oct 30, 2019

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

por Danilo G F R

Feb 06, 2018

Assigments too complicate without a necessary guide and help.

por André T D S

Oct 02, 2018

Bugs in the programming assignments grading kills the flow

por Rajarshi K

May 30, 2020

This course was comparatively boring than previous 4 ones

por Santosh B

Feb 19, 2019

I felt the last week had too many things packed together

por Shrishty C

Jul 06, 2018

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

por Konpat P

Feb 16, 2018

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

por Edoardo B

Nov 15, 2019

Doesn't teach much about keras which is sorely needed

por Rajesh R

Feb 25, 2018

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

por Kenzi L

Jul 19, 2020

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