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Voltar para modelos de sequência

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

4.8
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29,056 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

WK

13 de mar de 2018

I was really happy because I could learn deep learning from Andrew Ng.

The lectures were fantastic and amazing.

I was able to catch really important concepts of sequence models.

Thanks 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.

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3151 — 3175 de 3,484 Avaliações para o modelos de sequência

por Chen L

6 de abr de 2018

hope there are more projects about time series

por Erick Z

18 de mai de 2019

The programming assingments have some errors.

por Mohit k

4 de jul de 2018

Amazing Course with Awesome practice problems

por Jayadev H

3 de mar de 2018

not as fun as CNN course but still so useful!

por Ray

18 de abr de 2020

a little bit too hard for the sequence model

por Nitin J

17 de abr de 2019

I found this course bit difficult to grasp.

por Deleted A

9 de mai de 2021

last lab with transformers had some errors

por Debasish D

16 de mai de 2020

Good but too long to follow with patience

por Robert L

21 de abr de 2020

Very good introduction to sequence models

por tchaton

23 de abr de 2018

Great courses. Only 4 because too short !

por Omar A

20 de mar de 2018

More In depth optional videos are needed.

por Arjun A

6 de jun de 2020

I found it not that easy to comprehend.

por Rohit P

25 de dez de 2019

The assignments were mostly copy paste.

por dieter j

30 de mai de 2019

Not that interesting for me personally.

por 吴致远

7 de dez de 2018

jupyter notebooks with a bunch of error

por Sam P

15 de dez de 2018

Fantastic lectures and helpful quizzes

por David D

2 de jun de 2018

Notebooks seemed to be made in a hurry

por Dr. H H W

22 de set de 2019

good insights for RNN and time series

por Miguel V

16 de dez de 2018

Some of the tests were a bit too easy

por LUKORITO M W

30 de set de 2022

With effort easy to digest content

por Kailash C

27 de mar de 2020

Need more inputs for keras library.

por Ganesh M S

16 de abr de 2018

This sections was very interesting.

por Fu C C

9 de fev de 2018

an easy way to learn the conception

por Uran C

18 de abr de 2021

my knowledge about DL is upgrading

por Taihua L

25 de fev de 2018

Wish there was a tutorial on Keras