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Comentários e feedback de alunos de Sequence Models da instituição

26,739 classificações
3,160 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.

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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2801 — 2825 de 3,134 Avaliações para o Sequence Models

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.

por Syed S

1 de Fev de 2020

A little too difficult to understand from scratch

por ANDREW ( G

20 de Jan de 2020

A little bit less quality than the previous ones.

por Hemanth M

31 de Jul de 2019

More programming examples/exercises would be good

por tusheng w

18 de Abr de 2018

useful to familiar with RNN, GRU, LSTM and so on.

por SuperChen

12 de Fev de 2018

Exercises are a bit tough and misunderstanding...

por Wan N

15 de Abr de 2020

It will be nice if the videos are more detailed.

por Marco M

17 de Mai de 2018

The course was really interesting and well done

por Devid

4 de Jun de 2019

One task has a bug and impossible to complete.

por Chen L

6 de Abr de 2018

hope there are more projects about time series

por Erick Z

18 de Mai de 2019

The programming assingments have some errors.

por Mohit K

4 de Jul de 2018

Amazing Course with Awesome practice problems

por Jayadev H

3 de Mar de 2018

not as fun as CNN course but still so useful!

por Ray

18 de Abr de 2020

a little bit too hard for the sequence model

por Nitin J

17 de Abr de 2019

I found this course bit difficult to grasp.