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

4.8
estrelas
26,148 classificações
3,084 avaliações

Sobre o curso

In the fifth course of the Deep Learning Specialization, you will become familiar with NLP models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and more that have become possible with the evolution of sequence algorithms thanks to deep learning. By the end, you will be able to build and train Recurrent Neural Networks 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. DeepLearning.AI is proud to partner with NVIDIA Deep Learning Institute (DLI) to provide a programming assignment on Machine Translation with Deep Learning. Get an opportunity to build a deep learning project with leading-edge techniques using industry-relevant use cases. The Deep Learning Specialization is our 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 gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

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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2776 — 2800 de 3,054 Avaliações para o Sequence Models

por Mustafa A

16 de Dez de 2019

Not good as the previous courses.

por Yeshwanth R T

26 de Mar de 2018

It seemed a bit rushed in the end

por Ganesh

6 de Set de 2019

Good place to get back to basics

por Belén C S F

27 de Out de 2018

not as good as the rest of the 5

por Marc M

8 de Jan de 2021

Good course to introduce to NLP

por Alvin B K

25 de Out de 2020

This was really a great course.

por Mirta M R H

26 de Ago de 2020

Excelente curso, aprendí mucho.

por Bourne

7 de Mai de 2018

课程很棒,内容很多,但是作业编程的提示有些少,耽误了不少时间

por Playing C

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