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學生對 deeplearning.ai 提供的 Sequence Models 的評價和反饋

4.8
26,488 個評分
3,125 條評論

課程概述

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....

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JY
2018年10月29日

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.

WK
2018年3月13日

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

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3026 - Sequence Models 的 3050 個評論(共 3,095 個)

創建者 Sravan

2019年4月19日

Works as a primer. Assignments aren't that great.

創建者 Jerry Z T

2020年8月18日

The learning embedding part is kindof confusing

創建者 Prashath M

2020年12月29日

Excellent content

poor support from the website

創建者 Abhishek S

2020年6月15日

Great course but has been dumbed down too much

創建者 Yue E

2019年4月26日

Esperaba que los ejemplos fueran de otra forma

創建者 Jazz

2019年10月10日

Should add some instruction videos of Keras

創建者 Shanger L

2018年6月4日

does HW created/reviewed by different ones?

創建者 Parikshit D

2018年5月27日

The assignments are not very satisfactory..

創建者 CLAUDIO G T

2020年4月5日

Not so well explained as the other courses

創建者 Xueying L

2018年7月22日

Too narrow focusing on applications in NLP

創建者 Rahul T

2020年8月9日

Programming exercises was very confusing.

創建者 Ritesh R A

2020年2月2日

Course should have have more descriptive

創建者 Liang Y

2019年2月10日

Too many errors in the assignments

創建者 guzhenghong

2020年11月17日

The mathematical part is little.

創建者 julien r

2020年5月25日

second week was hard to follow

創建者 stdo

2019年9月27日

So many errors need to fix.

創建者 ARUN M

2019年2月6日

very tough for beginners

創建者 Wynne E

2018年3月14日

Keras is a ball-ache.

創建者 Long Q

2019年3月17日

too hard

創建者 CARLOS G G

2018年7月26日

good

創建者 Debayan C

2019年8月23日

As a course i think this was way too fast and also way too assumptive. I wish the instructions were a bit slow and we broke down more into designing bilstms and how they work and more simple programming excercises. As a whole i think 1 full week of material is missing from this course which would concentrate on the basic RNN building for GRUs and LSTMs and then move on to applications. I usually do not review these courses and they are pretty standard but this course left me wanting and i will consult youtube and free repos to learn about it better. I did not gain confidence on my understanding. Barely scraped through the assignments after group study and consulting people who know this stuff (which defeats the purpose of this course i believe. It is to enable me with concrete understanding and ability to build these models . It shouldn't lead me to consult others and clear out doubts .)

創建者 象道

2019年9月16日

i really learned from this course some ideas on recurrent neural net, but the assignments of this course are not completely ready for learners and are full of mistakes which have existed for more than a year. those mistakes in the assignments mislead learners pretty much if they do not study some discussion threads of the forum. this course has the lowest quality among all of Dr. Andrew Ng's. before the updated versions, a learner had better have a look at the assignments discussion forum before starting the assignments.

創建者 Luke J

2021年3月31日

The material really is great, but work needs to be done to improve the assignments, specifically submission and grading. On the last assignment I spent way more time troubleshooting the grader than the content of the assignment. It can be very frustrating to have to do this on a MOOC where no human support is available. It appears, specifically for this assignment based on discussion that this has been a problem for a very long time.

創建者 daniele r

2019年7月15日

The subject is fascinating, the instructor is undoubtly competent, but there is a strong feeling of lower quality with respect to the other 4 courses in the Spec (in particular the first 3). Many things in this course are only hinted to, without many details. Man things are just said but not really explained. Many recording errors as well. Maybe another week could have helped in having a little more depth in the subject

創建者 Amir M

2018年9月2日

Although the course lectures are great, as are all the lectures in this specialization, some of the assignments have rough edges that need to be smoothed out. It is particularly frustrating for those trying to work on the optional/ungraded programming assignment sections that have some incorrect comparison values, as much time will be wasted trying to figure out the source of the error.