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

4.8
19,395 個評分
2,111 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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AM

Jul 01, 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.

WK

Mar 14, 2018

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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201 - Sequence Models 的 225 個評論(共 2,085 個)

創建者 SHENGCHAO Z

Jun 21, 2018

Great Course! Thanks for Dr. Andrew Ng's and mentors' efforts for making this course excellent! However, as deep learning - AI quickly marches, I think more and more courses from Dr. Ng's group will be expected by all of us! Hope to see your new courses again!

創建者 Sathiraju E

Sep 17, 2019

In my opinion, this was the toughest course of this entire specialization. It was like a lot of detail squeezed into a few videos. I had to rewatch a lot of times to actually grasp the concepts. But thank you, Andrew and team, for your motivation and efforts.

創建者 AMRICHE A A E

May 16, 2019

The course is another great addition to the specialization. Very well designed and delivered. A big thank you to the Professor Andrew Ng and his team as well as Coursera. It was a great experience and I am very pleased that I took the entire specialization.

創建者 Manik S

Jun 17, 2018

A tough one. The notebook was very slow and and unstable.I like the original ML course's way of guiding us more. The suggestions on what should be done on every line make me lazy and I often don't focus hard enough on the intuition and math behind the code.

創建者 Fernando H F

Jan 21, 2019

Great course! Andrew is great in explaining complex definitions with simple and understandable explanations. The course goes deep in multiple applications of Sequence Model for Time Series Data, and the programming exercises are challenging and rewarding.

創建者 Raghunandan S

Oct 29, 2018

The course detailed, informative and elaborate. The programming exercises are using libraries Tensorflow and Keras. A familiarity of these libraries is very helpful. It would be great if an introduction to the fundamentals was a part of the course itself.

創建者 Maciej M

Aug 04, 2019

Brilliant, the best introduction to sequence models I could hope for. Because the material goes through multiple levels of complexity, I revisit it on a regular basis, even after finishing the course, and every time I am able to gain additional knowledge.

創建者 Brian L

Nov 26, 2018

This was an awesome sequence. I wanted to understand Deep Learning and the techniques and ideas that had advanced the state of the art beyond ordinary neural nets. I was particularly interested in Sequence Models which are of interest in my line of work.

創建者 Gil E B

Aug 15, 2019

So much gray area about sequence model was covered here! Broad topics covered with practical exercises make this course a must-have when dealing with sequence-related problems in deeplearning.

Thank you Andrew Ng and to the team for this wonderful course!

創建者 Ajita D

Jul 11, 2018

A very enjoyable course.Every concept is explained is very intuitive way by Andrew Ng.Thanks to all the organizers for such a wonderful course.All new concepts are also discussed.Anyone who wants to learn about AI ,should definitely opt for this course.

創建者 Athul R

May 31, 2018

This course is Very structured, concise and organised. I really enjoyed this course especially the Attention Mechanism in the Neural Machine Translation. Also the the trigger word assignment was both enjoyable and insightful. Thank you so much Andrew Ng

創建者 Sandeep K M

May 30, 2018

I was happy to learn about the Speech processing and more importantly when the system recognizes the "Activate" word. The way professor Andrew explains difficult topics is really appreciable. Thanks a ton for making the complex subject so easy to learn.

創建者 ANGIRA S

Mar 31, 2018

Having done the previous courses or not, this course will teach a whole lot about the past, present and future of NLP. At the end, as Prof. Andrew Ng has said, one can feel proud about how easily a topic can be explained with the help of just one slide.

創建者 João M C d N

May 02, 2019

This was very cool, RNNs seem very powerful. I don't think the programming exercises were the best to get some experience but I really like the way Andrew explains the algorithms. Still 5*

(They are totally using these reviews for text analysis :P)

創建者 Farzeen H

Sep 14, 2019

Andrew Ng and the team have created a fantastic opportunity to learn the basics of Deep Learning Algorithms. "Hearing from Lion's mouth" was a great experience for me. I would strongly recommend any deep learning enthusiast to attend the course.

創建者 Tulip T

Aug 23, 2019

somewhere between 4 and 5 stars. It's a good course to make you understand about major knowledge to process sequence by DL, and the assignments are the hidden gems.

Some recent results are not included (of course), such as BERT. But it's till OK.

創建者 Zifei S

Feb 13, 2019

Great course teaching state-of-the art NLP technologies. I wish the attention notebook could be improved, and the projects could get more flexible and in-depth. I also wish there could be a Keras tutorial that gives an overview of the framework.

創建者 Mariathea D

Apr 14, 2018

Andrew Ng is a fantastic instructor. His ability to break down a complicated concept like neural networks and deep learning so that a non-math, non computer person like me actually understands the underlying mechanisms is quite extraordinary.

創建者 Julien B

Jul 08, 2018

Très intéressant. Les papiers scientifiques illustrés dans les travaux pratiques sont récents et cela fait plaisir de comprendre comment marchent ces réseaux de neurones de notre quotidien (traduction google, trigger word, style transfert, ...)

創建者 Attila G

Dec 25, 2019

State-of-the-art and in-depth content, inspiring and engaging lectures throughout the whole specialisation. I will be eternally grateful to all of you who created this (and the other) courses. Thank you, Coursera, thank you so much, Andrew Ng!

創建者 Jingxiao Z

May 21, 2019

Very useful for understanding what 'sequential' means in DL. I expected as some new solution to the time series scenarios but it turns out a different area from the quantative techniques. It might be helpful applied to more 'sequential' areas.

創建者 Zynab S

Mar 21, 2019

Yes, I have just finished the whole specialization. I'm very proud of myself. And I recommend this specialization to anyone who wants to start with this field. Andrew is the best one I've seen who able to explain the thing in deeper way. Thanx

創建者 Shithi M

Nov 14, 2018

A wonderful, intellectual experience!

Don't fret if you are having to look up a few documentations, the comprehensive documentations of the built-in functions/layers needed are accessible on the official websites of the libraries(Keras, NumPy).

創建者 superfantastic

Apr 03, 2018

"I think that every person whether you come from a wealthy family, or a low income family, or anywhere in between. I think everyone should have great opportunities. " (socioeconomic status)

I was shocked by this speech. Thanks to Prof. andrew

創建者 Shashank J

Dec 01, 2019

very nice course but bit comprehensive especially Sequence models.

Expecting a same comprehensive course in Python development also so we can not write just a piece of code but entire code.

Also expecting a course on Keras , and end to end one.