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

4.8
estrelas
26,565 classificações
3,137 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.

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!

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2751 — 2775 de 3,108 Avaliações para o Sequence Models

por Fady B

1 de Jun de 2018

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

por Seyyed A S

18 de Jun de 2020

great course to understand intuition of sequence modeling for NLP.

por guolianghu

5 de Abr de 2020

课程虽然很短,只有三周的课程,但难度明显比之前四门课程要大,编程练习一共有7个,第一周的三个是最难的。但仍然是最优秀的深度学习课程。

por Bobby A

2 de Jul de 2019

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

por Martin T

13 de Fev de 2018

Muy buen curso, resulta sumamente estimulante el ejemplo de woebot

por Vikas C

20 de Jun de 2019

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

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 Jose L F L

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 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