Chevron Left
Voltar para Sequence Models

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

4.8
estrelas
26,716 classificações
3,158 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

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!

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.

Filtrar por:

2701 — 2725 de 3,130 Avaliações para o Sequence Models

por Fabrizio B

4 de Jun de 2020

Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization

por Zhiliang W

25 de Jan de 2019

Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.

por Yixuan Z

24 de Ago de 2020

Some concepts need to be explained more detailed, otherwise I feel hard to keep up with the lecture

por Zhao C

19 de Abr de 2019

Great class. However, they are some typos/mistakes in the explanations of programming assignments.

por Amiya M

21 de Out de 2018

learned a lot but I wish their should be some sort of referencing material for further exploration

por Alex R

25 de Fev de 2019

Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.

por MD Q A

9 de Abr de 2018

more excercise should be there in last course, but overall content was very good

thanks Andrew ng

por M S S

13 de Mai de 2018

The Attention model still needs more explanation. I haven't completely grasped attention models

por Jon-pierre H

27 de Fev de 2018

More errors than most in the projects. Likely due to the rush of getting this final course out

por Lee H H J

13 de Jun de 2020

Very good course, informative and easy to follow. Only problem I had is with its auto grader.

por Nojus D

12 de Jul de 2020

Really good course but compared to others optional assigments lack instructions in this one.

por Alex F

7 de Abr de 2019

My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!

por Phuong-Khanh H

22 de Ago de 2018

The course is of high quality. However, it is not as good and clear as the previous courses.

por Wes H

15 de Abr de 2018

Content needs a few improvements in quality but otherwise a valuable and instructive course.

por harm l

19 de Fev de 2018

Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.

por Osvaldo R

1 de Jul de 2020

The practice was more guided than other courses. Felt that the Coursera team did all for me

por Cze H Y

16 de Ago de 2018

Perfect course except there are are some mistake/ambiguous instruction in course assignment

por Tshepiso M

5 de Abr de 2020

Great course. Would like it if he kept his notation consistent with what is in the papers.

por Sven S

9 de Ago de 2019

a lot to learn, content is well presented as usual. one of the assignments requires rework

por 朱涧江

20 de Mar de 2018

Seem like not as good as before course,Wait so much time but is not clear as course before

por Sarang P

17 de Nov de 2020

Trigger word detection assignment notebook has some bugs. Had a hard time submitting it

por Glorian Y

30 de Out de 2019

There are many bugs in the assignment. Else, the material content and videos are great!

por Ryan B

19 de Mar de 2019

Really good but I guess you should teach more about how to apply all these models more.

por Zhe C

4 de Nov de 2018

Too many errors are in assignments. Also, Some APIs from Keras are not well explained.

por Ankoor B

21 de Fev de 2018

The assignment code instructions (specifically the code comments were very confusing).