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

4.8
estrelas
27,112 classificações
3,227 avaliações

Sobre o curso

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

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.

SB
18 de Fev de 2018

Loved the course - it was very interesting. It is also pretty complex, so will probably go through it again to review the concepts and how the models work. Thank you for this wonderful course series!

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3126 — 3150 de 3,221 Avaliações para o Sequence Models

por Samit H

18 de Ago de 2020

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

por Tushar B

12 de Jun de 2018

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

por Saeif A

3 de Jan de 2020

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

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 Sri R

7 de Dez de 2020

This course is not satisfactory than the previous courses

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 I

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.