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Voltar para modelos de sequência

Comentários e feedback de alunos de modelos de sequência da instituição deeplearning.ai

4.8
estrelas
27,347 classificações
3,265 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

JY
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.

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.

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2976 — 3000 de 3,263 Avaliações para o modelos de sequência

por Sudikshan R

15 de Set de 2020

I finally have a superpower!!

por Nguyễn V T

8 de Jul de 2020

Really helpful and intersting

por Siyavash T

20 de Jun de 2018

Quite a good course overall.

por Kong L

3 de Jun de 2018

difficult to understand well

por Jean M A S

10 de Mar de 2018

As always, amazing content !

por Radu I

20 de Fev de 2018

Cool course, learned LSTMs.

por gaozhipeng

18 de Fev de 2018

amazing introduction to RNN

por Shashidhara K

13 de Fev de 2018

more exercise would be nice

por 封智博

3 de Jun de 2020

希望讲得更细一些,多给一写intution帮助理解

por Prateek N

3 de Out de 2018

Assignments are awesome!

por Zewei W

3 de Fev de 2018

It's really interesting!

por Md. M R

7 de Out de 2020

Andrew Ng. is too good.

por Enyang W

17 de Set de 2019

it is really not easy..

por Ashit G

13 de Mai de 2019

more material is needed

por kumar s

12 de Dez de 2018

Good work by Andrew NG.

por 김진수

10 de Mar de 2019

It was a great lecture

por shuxiao C

16 de Jun de 2020

希望编程部分可以更加自由, 做填空题没意思

por Ashwin A R

5 de Mai de 2020

It was Amazing !!!!

por Kiran U K

21 de Abr de 2020

Good course overall

por Ross H

14 de Out de 2018

Concise and helpful

por Ash G

30 de Dez de 2021

really good course

por JOSE D J N R

8 de Jun de 2020

I liked the course

por Kai Z

19 de Fev de 2018

Good demonstration

por shuieryin

8 de Fev de 2018

soooo difficult...

por sunlight

13 de Jul de 2018

感觉没有前几次课程详细了,视频部分