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

4.8
estrelas
27,028 classificações
3,214 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

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.

MH
21 de Abr de 2020

Very good. I have no complaints. I though instruction was very clear. Assignments were very helpful and challenging enough that I learned something, but not so challenging that I got stuck too often.

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3126 — 3150 de 3,208 Avaliações para o Sequence Models

por André T D S

1 de Out de 2018

Bugs in the programming assignments grading kills the flow

por Sri R

7 de Dez de 2020

This course is not satisfactory than the previous courses

por Rajarshi K

30 de Mai de 2020

This course was comparatively boring than previous 4 ones

por Santosh B

19 de Fev de 2019

I felt the last week had too many things packed together

por Shrishty C

6 de Jul de 2018

Was little hard to understand at times. But it was good.

por Konpat P

16 de Fev de 2018

Not as well done as before. But, still very informative.

por Edoardo B

15 de Nov de 2019

Doesn't teach much about keras which is sorely needed

por Rajesh R

25 de Fev de 2018

GRUs are poorly explained. Unable to get past Week 1.

por Kenzi L I

19 de Jul de 2020

a bit outdated due to lstm being not that s-o-a now

por karishma d

20 de Jun de 2019

very basic ..would have wanted much advance level .

por Saumya T

9 de Jun de 2019

Codes are not explained. Some codes files are given

por Sravan

19 de Abr de 2019

Works as a primer. Assignments aren't that great.

por Jerry Z T

18 de Ago de 2020

The learning embedding part is kindof confusing

por Prashath M

29 de Dez de 2020

Excellent content

poor support from the website

por Sara S A

15 de Jun de 2020

Great course but has been dumbed down too much

por Yue E

26 de Abr de 2019

Esperaba que los ejemplos fueran de otra forma

por Jazz

10 de Out de 2019

Should add some instruction videos of Keras

por Shanger L

4 de Jun de 2018

does HW created/reviewed by different ones?

por Parikshit D

27 de Mai de 2018

The assignments are not very satisfactory..

por CLAUDIO G T

5 de Abr de 2020

Not so well explained as the other courses

por Xueying L

22 de Jul de 2018

Too narrow focusing on applications in NLP

por Rahul T

9 de Ago de 2020

Programming exercises was very confusing.

por Ritesh R A

2 de Fev de 2020

Course should have have more descriptive

por Iptables325

28 de Ago de 2021

it's not bad but it's also not perfect

por Liang Y

10 de Fev de 2019

Too many errors in the assignments