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Comentários e feedback de alunos de modelos de sequência da instituição deeplearning.ai

4.8
estrelas
27,648 classificações
3,300 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

WK

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!

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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3201 — 3225 de 3,303 Avaliações para o modelos de sequência

por Thomas P

9 de abr de 2020

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

por Archana A

7 de out de 2019

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

por Sébastien C

18 de ago de 2020

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

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 Rohan L

15 de nov de 2021

lecture videos were good but in assignments let us code more.

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.