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学生对 deeplearning.ai 提供的 序列模型 的评价和反馈

4.8
27,872 个评分
3,330 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

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.

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.

筛选依据:

2926 - 序列模型 的 2950 个评论(共 3,331 个)

创建者 Philippe T

Oct 29, 2018

More exemple than Only NLP would have been nice ! But overall a great course

创建者 Emanuel V

Apr 2, 2018

This is a good course. However, this topic deserves much more detailed work.

创建者 Andrea C

Aug 29, 2021

The most difficult of the series. Yet I enjoyed learning so many new things

创建者 J V

Apr 24, 2020

Great Content with real-time example looking forward to doing more courses

创建者 Andrius T

Nov 2, 2019

Please remove repetitions from videos, really annoying thing. Great job :)

创建者 Luca C

Oct 13, 2019

Awesome notebooks to gain practical experience with deep learning systems.

创建者 Philippe A

Oct 21, 2018

This course is very interesting! Again! It requires basic Keras knowlegde.

创建者 EZ

Feb 18, 2018

Course is excellent. Assignment, however, could use some more refinement.

创建者 Attili S

Aug 12, 2020

It would be good to extend some more detailed explanation in this course

创建者 Sebastian M

Apr 7, 2019

need some reviewing in the optional parts of the programming assignments

创建者 Guan W

Mar 10, 2018

Excellent course content, but poor maintenance of programming assignment

创建者 Filip V

Feb 25, 2018

Provides good exposure to sequence models for NLP and speech processing.

创建者 Xirui Z

Apr 7, 2021

Instructions for labs are not clear enough, especially the layers part.

创建者 Mandeep S G

Jan 25, 2020

Great exercises but videos were slightly rushed. Overall a good course.

创建者 Vinod C

Apr 29, 2019

Good course. Feel a little bit rushed. Difficult to retain the concepts

创建者 Chen L

Mar 14, 2018

The content is great, but the programming exercises are full of errors.

创建者 Xiao

Mar 8, 2018

Some techniques for keras need to be clarified. Generally a good course

创建者 Jon M

Jul 7, 2021

I liked this particular set of lectures, too, now on to something new.

创建者 Vamvakaris M

Sep 8, 2019

It required coding on keras and tensorflow not appropriate introduced.

创建者 Rafael B d S

Aug 6, 2019

The Course is great! But the programming assignments has too many bugs

创建者 Pete H

Dec 12, 2018

it's very difficult to submit last programming exercise "trigger word"

创建者 Ishan S

Jun 27, 2020

More clarification on what we are doing in the programming exercises

创建者 Emanuel G

Dec 13, 2018

Great introduction to LSTMs, RNNs, GRUs, NLP and speech recognition.

创建者 Nilesh R

Mar 20, 2018

Great content but I felt it was bit rushed and squeezed in 3 weeks .

创建者 Alex M

Mar 14, 2018

The quality was a bit down but still very worthwhile and interesting