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Voltar para modelos de sequência

Comentários e feedback de alunos de modelos de sequência da instituição

28,154 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.


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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551 — 575 de 3,377 Avaliações para o modelos de sequência

por Zebin C

18 de mai de 2019

This course is hard to learn. It requires a lot of basic concepts about NLP and RNN. Fortunately, programming exercises have effectively deepened my understanding of these concepts.

por Alex Y

15 de mai de 2019

Excellent overview of recurrent neural networks and applications like NLP, speech recognition, and sentiment analysis! The assignments especially were comprehensive and fascinating!

por Abraham K

11 de mai de 2019

This course is AWESOME!!! I learned so much and it was put together so well. This course allowed me to write an article on attention and better understand stacked LSTM RNN networks.

por Arvin S

10 de mar de 2018

I have the best time with you who designed the course and learnt together. When the professor said thank you, I was really moved and, not a words can express my appreciation to you!

por Amit J

18 de abr de 2020

I got very valuable insights from this course. I have a raspberry Pi in home using which I control a lamp. I am going to activate it with speech based on learning from this course.

por Hari K

1 de fev de 2020

Thank you so much for the entire deep learning specialization. Thanks for generously sharing so many aspects about various topics, which will be otherwise difficult to come across.

por HEF

2 de jun de 2019

The most challenging one among all 5 courses of this specialization, but I also got the most fun from the videos and programming exercises. The discussion forums are quite helpful.

por Thejan W

4 de abr de 2018

A very well organized course. Assignments, lectures, almost everything is extremely organized and rich in content. This gave me a concrete theoretical knowledge on sequence models.

por Beda K

28 de abr de 2018

Great overview of sequence models. This was the course in the series that was most relevant to my topic of interest, so I was looking forward to it and enjoyed every moment of it.

por Luis d l O

26 de mar de 2020

Very interesting course for those who do not know sequential models. As for the programming exercises, they are very easy to complete but help understanding how everything works.

por Madhukesh S

26 de fev de 2018

All the courses are great, but this is the one I was interested in most. It didn't disappoint. The exercises were a bit challenging, but a lot of fun and relevant to the subject.


30 de jul de 2021

After taking the Deep Learning Specialization, I feel like I am a step higher than myself compared to last 4 months. Thanks to my instructor, curriculum developers and Coursera.

por Rishav K

10 de jul de 2020

Apart from a few frustrations in earlier assignments because of some errors in the Jupyter notebook, which have rectified, the course was a challenging and rewarding experience.

por Angam P

24 de fev de 2020

Great introduction to sequence models. While the actual concepts are hard to grasp, programming exercises has given a very good understanding of the application of these models.

por Kevin C

25 de dez de 2019

I am pleased about the in-depth explanation about RNNs, LSTMs, and GRUs, as well as the Attention mechanism. Those were the topics that I was looking for when taking this class.

por Manfred P

11 de nov de 2018

Awesome course. Andrew Ng is a very good teacher. I've also done the DL course on Udacity which was very unstructured and hard to follow.

The only thing I was missing were GANs.

por Abigail S

4 de abr de 2020

Was fun with lessons, some assignments gave issues with necessity of additional care on being aware of the "grader", as some simple mistakes led to no grading, otherwise great!

por Mukund A

24 de mar de 2019

Incredible! Just Loved it. Loved the entire deep learning specialization by coursera. Programming Assignments in this course were challenging but rewarding. Thank You Coursera.

por Jorge C

8 de ago de 2018

Great course with a lot of content about sequence models based on Recurrent Neural Networks. Although sometimes the topics are very complex, everything is explained very clear.

por Yanxuan W

22 de abr de 2018

Andrew is excellent teacher! During last three months, his not only taught me deep learning but brought me peace helping me go through a hard time. I am so appreciate for that.

por Jussi V

18 de fev de 2018

Simply excellent ending for the deep learning specialisation. This course 5 together with course 4 (CNNs) is really the core and the most important part of the 5-course series.

por 林胜义

12 de fev de 2018

I learned how to use LSTM or GRU in NLP task. And I have learned many intuitions and skills of Sequence Models and its application in various NLP tasks and speech recognition.

por Rony R

4 de jan de 2021

one of the best specialization ever!

it has amazing exercises that make hard not to finish them.

kudos to the people behind all the effort in coming up with and writing the Labs

por Sharat S

16 de ago de 2020

Great course! Especially like how well thought out it is, especially the assignments. They are something you can save and refer back to as long as you're working in the field.

por Awadhesh M

12 de abr de 2020

It was fun and a wonderful experience to learn deep learning. Course content is well structured, and the way things are taught , kept me engaged all the time.

Thank You Andrew.