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学生对 deeplearning.ai 提供的 Sequence Models 的评价和反馈

4.8
27,127 个评分
3,230 条评论

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.

SD
Sep 27, 2018

Great hands on instruction on how RNNs work and how they are used to solve real problems. It was particularly useful to use Conv1D, Bidirectional and Attention layers into RNNs and see how they work.

筛选依据:

2876 - Sequence Models 的 2900 个评论(共 3,225 个)

创建者 Alvaro C

Jul 29, 2019

Much harder than previous ones, but also really interesting.

创建者 Jedrzej P

Apr 29, 2018

Would have liked an example outside of nlp, otherwise awsome

创建者 Anand B

Aug 20, 2018

Content is little less intuitive compared to other courses.

创建者 Anugna R

Jul 15, 2020

codes are too long and it is taking time for codes to run

创建者 Hassan E

Mar 2, 2019

Greeeeeeeeeeeeeeeat but less than the first four courses.

创建者 KIT M C

Nov 13, 2019

The program in the exercise is a bit hard to understand.

创建者 Galvin W

Feb 23, 2018

Good when it came. Annoying for the 2 month launch delay

创建者 David N

Apr 26, 2020

i'd like to have applications more suited to real world

创建者 Vikas K

Mar 31, 2019

it would have been better if he used more visualization

创建者 Jarosław G

Jan 21, 2019

There were a lot of problems with notebook task grader.

创建者 Nick J

Mar 11, 2018

Great course, but too many mistakes in the assignments.

创建者 kasun s K

Sep 19, 2021

t​hank you for this. this give good knowaledge for me

创建者 Aloys N

Oct 22, 2019

Good content, it would have been good to do more keras

创建者 Rakesh k k

Feb 22, 2021

Really Nice course to get basic understanding of NLP.

创建者 吴科炜

Feb 16, 2021

Trigger word detection: submit homework is so hard...

创建者 Johannes J

Jun 27, 2019

Great insights, helpful notebooks, good explanations.

创建者 Karol K

Feb 26, 2018

Again, programming assignment should work flawlessly!

创建者 Roberto G

Apr 5, 2020

un poco lentos los ejercicios y repetitivos comandos

创建者 Saurabh P

Feb 17, 2018

Very good introduction to RNNs and their variations.

创建者 Jetro G K

Jul 24, 2018

Muy difícil en comparación con los demás anteriores

创建者 Kamran K

Apr 11, 2021

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

创建者 阿刘

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

Jan 4, 2020

Too much details! Too little time. More exercises!

创建者 Igor R

Apr 20, 2018

Excellent content, the auto-grader not so awesome.

创建者 Andriyanto H

Apr 18, 2018

Very good course but can be too rushing sometimes.