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

4.8
26,488 个评分
3,125 条评论

课程概述

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....

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:

2676 - Sequence Models 的 2700 个评论(共 3,095 个)

创建者 Zhao C

Apr 19, 2019

Great class. However, they are some typos/mistakes in the explanations of programming assignments.

创建者 Amiya M

Oct 21, 2018

learned a lot but I wish their should be some sort of referencing material for further exploration

创建者 Alex R

Feb 25, 2019

Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.

创建者 MD Q A

Apr 9, 2018

more excercise should be there in last course, but overall content was very good

thanks Andrew ng

创建者 M S S

May 13, 2018

The Attention model still needs more explanation. I haven't completely grasped attention models

创建者 Jon-pierre H

Feb 27, 2018

More errors than most in the projects. Likely due to the rush of getting this final course out

创建者 Lee H H J

Jun 13, 2020

Very good course, informative and easy to follow. Only problem I had is with its auto grader.

创建者 Nojus D

Jul 12, 2020

Really good course but compared to others optional assigments lack instructions in this one.

创建者 Alex F

Apr 7, 2019

My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!

创建者 Phuong-Khanh H

Aug 22, 2018

The course is of high quality. However, it is not as good and clear as the previous courses.

创建者 Wes H

Apr 15, 2018

Content needs a few improvements in quality but otherwise a valuable and instructive course.

创建者 harm l

Feb 19, 2018

Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.

创建者 Osvaldo R

Jul 1, 2020

The practice was more guided than other courses. Felt that the Coursera team did all for me

创建者 Cze H Y

Aug 16, 2018

Perfect course except there are are some mistake/ambiguous instruction in course assignment

创建者 Tshepiso

Apr 5, 2020

Great course. Would like it if he kept his notation consistent with what is in the papers.

创建者 Sven S

Aug 9, 2019

a lot to learn, content is well presented as usual. one of the assignments requires rework

创建者 朱涧江

Mar 20, 2018

Seem like not as good as before course,Wait so much time but is not clear as course before

创建者 Sarang P

Nov 17, 2020

Trigger word detection assignment notebook has some bugs. Had a hard time submitting it

创建者 Glorian Y

Oct 30, 2019

There are many bugs in the assignment. Else, the material content and videos are great!

创建者 Ryan B

Mar 19, 2019

Really good but I guess you should teach more about how to apply all these models more.

创建者 Zhe C

Nov 4, 2018

Too many errors are in assignments. Also, Some APIs from Keras are not well explained.

创建者 Ankoor B

Feb 21, 2018

The assignment code instructions (specifically the code comments were very confusing).

创建者 Moustafa S

Jun 22, 2020

it was hard to catch up to all the new stuff, but as a first step, it's not that bad.

创建者 Ming M

Jan 14, 2019

I feel the programming assignments should be revised. I have encountered many errors.

创建者 Hector M

Feb 19, 2018

There were a couple of problems with the grader that made this course less enjoyable.