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Voltar para modelos de sequência

Comentários e feedback de alunos de modelos de sequência da instituição

29,063 classificações

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


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.


13 de mar de 2018

I was really happy because I could learn deep learning from Andrew Ng.

The lectures were fantastic and amazing.

I was able to catch really important concepts of sequence models.

Thanks a lot!

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3101 — 3125 de 3,484 Avaliações para o modelos de sequência

por Shilpa S

18 de mar de 2019

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

por Andres R

2 de abr de 2018

Excellent lectures. Some programming exercises need more clarity.

por Armand L

28 de abr de 2019

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

por Julio T T

28 de set de 2020

Exercises have less quality than the ones in previous courses.

por Josele F

29 de mai de 2019

El curso esta muy bien peor deben añadir subtitulos en español

por Marisa F

18 de nov de 2018

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

por Alex N

27 de mar de 2018

Grader was wrong sometimes. Typos everywhere in the notebooks.

por muhammad A

15 de nov de 2020

awesome, but need more animation for understand general works

por Akshay g

14 de mai de 2020

Good course but can add more models to get a deep dive in NLP

por Xinyu Y

1 de jul de 2019

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

por SeptemberHX

30 de jun de 2018

Maybe should give some advice about the future learning path.

por Vitor A

28 de mai de 2020

Great course focus on natural processing and music examples.

por Alvaro C

29 de jul de 2019

Much harder than previous ones, but also really interesting.

por Jedrzej P

29 de abr de 2018

Would have liked an example outside of nlp, otherwise awsome

por Dejoli L

8 de mai de 2022

very important course concerning sequence in Deep learning.

por Anand B

20 de ago de 2018

Content is little less intuitive compared to other courses.

por Anugna R

15 de jul de 2020

codes are too long and it is taking time for codes to run

por Hassan E

2 de mar de 2019

Greeeeeeeeeeeeeeeat but less than the first four courses.

por Kit M C

13 de nov de 2019

The program in the exercise is a bit hard to understand.

por Galvin W

23 de fev de 2018

Good when it came. Annoying for the 2 month launch delay

por David N

26 de abr de 2020

i'd like to have applications more suited to real world

por Vikas K

31 de mar de 2019

it would have been better if he used more visualization

por Jarosław G

21 de jan de 2019

There were a lot of problems with notebook task grader.

por Nick J

11 de mar de 2018

Great course, but too many mistakes in the assignments.

por kasun s K

19 de set de 2021

thank you for this. this give good knowaledge for me