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学生对 DeepLearning.AI 提供的 Sequence Models 的评价和反馈

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31,102 个评分

课程概述

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....

热门审阅

AM

Jun 30, 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.

JY

Oct 29, 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.

筛选依据：

3426 - Sequence Models 的 3450 个评论（共 3,818 个）

创建者 Karol K

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Feb 26, 2018

Again, programming assignment should work flawlessly!

创建者 Tisha

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Oct 25, 2022

Great course to understand sequence models and NLP.

创建者 Roberto G

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Apr 5, 2020

un poco lentos los ejercicios y repetitivos comandos

创建者 Saurabh P

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Feb 16, 2018

Very good introduction to RNNs and their variations.

创建者 Luke R

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May 4, 2022

Great professional-level instruction and exercises.

创建者 Jetro G

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Jul 24, 2018

Muy difícil en comparación con los demás anteriores

创建者 Giri T

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Nov 5, 2022

This is pretty involved - especially the last week

创建者 Kamran K

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Apr 11, 2021

I would prefer to be the student of Sir Andrew Ng.

创建者 阿刘

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Aug 6, 2020

这节课主要还是以入门为主，没有讲太多理论知识，序列模型部分讲解跳跃性较大，需要结合更多资料去仔细研究

创建者 Minh N

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Jan 4, 2020

Too much details! Too little time. More exercises!

创建者 Igor R

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Apr 20, 2018

Excellent content, the auto-grader not so awesome.

创建者 Andriyanto H

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Apr 18, 2018

Very good course but can be too rushing sometimes.

创建者 Omar H G

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Jul 22, 2021

Great course

The last 2 weeks are the hardest ones

创建者 Syed S

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Feb 1, 2020

A little too difficult to understand from scratch

创建者 ANDREW ( G

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Jan 20, 2020

A little bit less quality than the previous ones.

创建者 Hemanth M

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Jul 31, 2019

More programming examples/exercises would be good

创建者 tusheng w

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Apr 18, 2018

useful to familiar with RNN, GRU, LSTM and so on.

创建者 Jessie C

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Feb 12, 2018

Exercises are a bit tough and misunderstanding...

创建者 aditya r K

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Feb 29, 2024

Very good teaching and practice much appreciated

创建者 Wan N

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Apr 15, 2020

It will be nice if the videos are more detailed.

创建者 Marco M

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May 17, 2018

The course was really interesting and well done

创建者 David L

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Jun 4, 2019

One task has a bug and impossible to complete.

创建者 Chen L

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Apr 6, 2018

hope there are more projects about time series

创建者 Erick Z

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May 18, 2019

The programming assingments have some errors.

创建者 Mohit k

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Jul 4, 2018

Amazing Course with Awesome practice problems