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

4.8
25,831 個評分
3,042 條評論

課程概述

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization. deeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content....

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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!

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.

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2951 - Sequence Models 的 2975 個評論(共 3,013 個)

創建者 Abhishek S

2020年6月15日

Great course but has been dumbed down too much

創建者 Yue

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 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.

創建者 David S

2020年12月19日

Excellent lectures, terrible exercise material. E.g. "You're implementing how to train a model! But we've done the actual training for you already! Your exercise is to add numbers A and B! Number A is 4. Number B is 11! Enter A + B in the box below!" Also, someone did a search-and-replace and converted every sentence into an individual bullet point to reduce readability.

創建者 Sergio F

2019年5月16日

Unfortunately, this course is the less valuable in the specialization. Programming assignment very interesting but no introduction to Keras. To pass the assignments, forum support has been vital. I also found lectures not clear even to the point that to catch some concepts you have to google around for more resources. Unfortunately, I could not suggest this course.

創建者 Peter B

2018年2月20日

Getting the input parameters correct for the Keras assignments is on par with the satisfaction of dropping a ring, contact lens, or an expensive object into the sink, and spending an hour looking for it inside the disassembled pipes, through built up hair debris and molded dirt.

創建者 SARAVANAN N

2018年3月19日

Overall a great course, thanks to Andrew NG for his great explanations. But a very bad support, I faced many issues in submitting the assignment due to technical issues (notebook not saving) but no dedicated resource to help me. I spend lot of time in resolving my self.