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Comentários e feedback de alunos de modelos de sequência da instituição

29,083 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.


29 de out de 2018

The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.

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3001 — 3025 de 3,488 Avaliações para o modelos de sequência

por Václav R

5 de ago de 2019

Nice intro in recurrent neural networks.

I'd prefer more focus on why the architectures are designed the way they are.

por Scott R

16 de mar de 2018

I would have liked to have had an assignment covering beam search but overall it was excellent introduction to RNNs.

por Lin Y

14 de mar de 2018

overall it's great, but I think this course is a little bit high level on RNNs, I expected more content on GRU/LSTM.

por Andrey S

20 de fev de 2018

Great course but it took them forever to finally open it.

The course also has issues with submitting last assignment.

por Nikhlesh P

17 de ago de 2020

Text Processing exercises should be added. Most of the examples are from image and speech. Overall good experience.

por Sachin k

8 de jul de 2019

Great Course. But could improve on explanation part. And could teach more about architectures such as LSTM and GRU.

por Tianpei X

13 de fev de 2018

Great course ! However, there are several errors in the project assignments and it has been delayed for two months.

por Cameron W

16 de set de 2019

I felt like important concepts were glossed over far more in this course than previous courses in this curriculum.

por Pengfei J

22 de fev de 2018

The update and correction of error should be more effectively and actively managed. That's the only error so far.

por Yufeng S

29 de out de 2022

Everything is good, except the last week's material needs more explanation to avoid confusion and frustration.

por Andres F O J

29 de ago de 2020

The assignments should be after each topic or lecture because in the end is difficult to enhance the knowledge.

por Claus E

29 de abr de 2020

Good course, but the errors in the last exercise was annoying and I missed a bit more about speech recognition.

por Adam

11 de abr de 2020

Only complaint is that the exercises are too easy when all answers are practically given in the hints section.

por Jan Z

23 de fev de 2018

Interesting topics but some fairly frustrating assignments. Happy to get a better understanding of NLP though!

por Abdoulaye

14 de jun de 2020

Super excited to finish this course. I've tone of questions not answered in forums I'm still waiting answers.

por Paulami D

12 de mar de 2018

This was the toughest one of the 5. Great learning, but may be it could've been made a tad bit more intuitive

por Tung V t

28 de nov de 2021

the course is very comprehensive however more details about how backpropagation is done would be great !!!

por S A

2 de jul de 2018

The quiz section needs to improve. It would be helpful that notes be also given as an outline of the ppts.

por Aleksandar B

20 de mai de 2018

A bit too much material without going in depth anywhere. Also, code-grader sometimes behaves very strange

por Kiran S

4 de fev de 2019

Some inconsistencies with the HW level (week 2 basically told you what to write) but very good lectures.

por Brandon C

11 de dez de 2018

Keras exercises tough to get through based on provided information, but the content was superb as always

por Paul H C

19 de nov de 2018

Really good course. Exercises are not always connected to the core of the deep learning problem though..

por Sharon M

19 de set de 2019

The course is great , in the assignments it is better to stick to single package and TF is preferable.

por Jorge L G

29 de jan de 2019

Highly recommended course to understand the concept of speech recognition models, very real use cases.

por Alex K

15 de mar de 2022

Great lectures, but "fill-in-blanks-and-rewrite-math-formula-using-python" assignments were annoying