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Comentários e feedback de alunos de Sequence Models da instituição

27,125 classificações
3,230 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

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.

12 de Jul de 2020

brilliant course, great quality instruction from Andrew Ng. The only faults are that some of the labs have not been supervised properly being a but buggy and a couple of later lectures were very dry.

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2876 — 2900 de 3,225 Avaliações para o Sequence Models

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

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

t​hank you for this. this give good knowaledge for me

por Aloys N

22 de Out de 2019

Good content, it would have been good to do more keras

por Rakesh k k

22 de Fev de 2021

Really Nice course to get basic understanding of NLP.

por 吴科炜

16 de Fev de 2021

Trigger word detection: submit homework is so hard...

por Johannes J

27 de Jun de 2019

Great insights, helpful notebooks, good explanations.

por Karol K

26 de Fev de 2018

Again, programming assignment should work flawlessly!

por Roberto G

5 de Abr de 2020

un poco lentos los ejercicios y repetitivos comandos

por Saurabh P

17 de Fev de 2018

Very good introduction to RNNs and their variations.

por Jetro G K

24 de Jul de 2018

Muy difícil en comparación con los demás anteriores

por Kamran K

11 de Abr de 2021

I would prefer to be the student of Sir Andrew Ng.

por 阿刘

6 de Ago de 2020


por Minh N

4 de Jan de 2020

Too much details! Too little time. More exercises!

por Igor R

20 de Abr de 2018

Excellent content, the auto-grader not so awesome.

por Andriyanto H

18 de Abr de 2018

Very good course but can be too rushing sometimes.