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Comentários e feedback de alunos de Sequence Models da instituição

19,409 classificações
2,112 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


Mar 14, 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!


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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1826 — 1850 de {totalReviews} Avaliações para o Sequence Models

por Sebastian M D

Apr 08, 2019

need some reviewing in the optional parts of the programming assignments

por Guan W

Mar 11, 2018

Excellent course content, but poor maintenance of programming assignment

por Filip V

Feb 25, 2018

Provides good exposure to sequence models for NLP and speech processing.

por Mandeep S G

Jan 25, 2020

Great exercises but videos were slightly rushed. Overall a good course.

por Vinod C

Apr 29, 2019

Good course. Feel a little bit rushed. Difficult to retain the concepts

por Chen L

Mar 14, 2018

The content is great, but the programming exercises are full of errors.

por Xiao

Mar 08, 2018

Some techniques for keras need to be clarified. Generally a good course

por Vamvakaris M

Sep 08, 2019

It required coding on keras and tensorflow not appropriate introduced.

por Rafael B d S

Aug 07, 2019

The Course is great! But the programming assignments has too many bugs

por Gorden

Dec 12, 2018

it's very difficult to submit last programming exercise "trigger word"

por Emanuel G

Dec 13, 2018

Great introduction to LSTMs, RNNs, GRUs, NLP and speech recognition.

por Nilesh R

Mar 20, 2018

Great content but I felt it was bit rushed and squeezed in 3 weeks .

por Alex M

Mar 14, 2018

The quality was a bit down but still very worthwhile and interesting

por Vivek K

Jul 20, 2018

Great practical experience. Would have preferred a bit more theory.

por Fady B

Jun 01, 2018

it covered a lot of interesting topics but it was a bit high level.

por Bobby A

Jul 02, 2019

Well explained, I feel like it could go a bit more in depth though

por Martin T

Feb 13, 2018

Muy buen curso, resulta sumamente estimulante el ejemplo de woebot

por vikas c

Jun 20, 2019

The good course as the theoretical basis for RNN and other models

por Shilpa

Mar 19, 2019

Attention Models is not that clear. Everything else is excellent.

por Andres R

Apr 02, 2018

Excellent lectures. Some programming exercises need more clarity.

por Armand L

Apr 28, 2019

Very hard, but not your fault, very good course ! Thank you !!!!

por Jose L F L

May 29, 2019

El curso esta muy bien peor deben añadir subtitulos en español

por Marisa F

Nov 18, 2018

I think this course needs to have a continuation to go deeper.

por Alex N

Mar 27, 2018

Grader was wrong sometimes. Typos everywhere in the notebooks.

por Xinyu Y

Jul 01, 2019

There is some noise in the video which is greatly disturbing.