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

4.8
27,028 个评分
3,214 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

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.

MH
Apr 21, 2020

Very good. I have no complaints. I though instruction was very clear. Assignments were very helpful and challenging enough that I learned something, but not so challenging that I got stuck too often.

筛选依据:

326 - Sequence Models 的 350 个评论(共 3,209 个)

创建者 Rodrigo R C P

Aug 3, 2020

This course is a nice introduction to neural networks applied to sequence models. It has interesting applications in natural language processing and speech recognition. It would have been nice to apply the concepts to time series prediction, too.

创建者 Namburi S

Mar 27, 2020

This is a pretty cool course to work on introduction of NLP. A blend of practical and theoritical aspects included though there are black boxes (I felt Convolutional Course to be more effective though, maybe because of my background, but still!!)

创建者 RUDRA P D

Jul 20, 2020

I don't know why this course has not been rated more than the other courses of this specialization. In my opinion, this is the best course among all the others. All thanks to Andrew Sir and Coursera team to introduce me to this specialization.

创建者 Gautam K

Jul 8, 2020

The course is very helpful in learning the important concepts of RNN in a very easy way. The instructor has a very unique style of teaching which makes the typical concepts easy and at the same the makes you develop your interest in the course.

创建者 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.

创建者 Tulip T

Aug 22, 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.

创建者 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.

创建者 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.

创建者 Renato

May 29, 2020

I think the course and specialization are special. It requires a lot of hours to finish it. It can be a great review of specific topics in the deep learning subject. Thank you for allowing us to reach those specific topics easily. Great content

创建者 Anubhab G

Apr 17, 2020

The course explains the fundamentals of RNNs, GRUs, and LSTMs in a very easy manner with plenty of illustrations and programming exercises. Although, some of the exercises are optional but doing those actually help reinforce essential concepts.

创建者 Julien B

Jul 8, 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, ...)

创建者 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!

创建者 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.

创建者 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

创建者 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).

创建者 superfantastic

Apr 3, 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

创建者 RAKSHIT G L

Apr 25, 2020

The course was brilliant! Even though, the programming assignments could be better (personal opinion). The teaching itself is brilliant, and I think Andrew NG is by far one of the best Deep Learning teachers for anyone looking to get started.

创建者 Shashank J

Dec 1, 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.

创建者 Brian ( B

Feb 21, 2019

More lectures are needed in the sequence models to make these models or ideas clear to deep learning learners. I found this course is the most difficult one to follow in this series even if I got quite a lot experience on time series topics.

创建者 Sabyasachi P

Feb 27, 2018

It was a great learning experience. Thanks Andrew Ng for the wonderful content. However, there are still some mistakes in the programming assignment such as in the expected output of 3rd assignment. Kindly correct it. Overall very satisfying!

创建者 Bảo L H

Apr 18, 2020

It's an amazing course, the video lectures are fruitful and the contents of the courses are well designed, the instructor is talented and his explanations are extremely helpful, it's one of the best courses taught on keras!

Thank you so much!

创建者 Emmanuel T

Nov 21, 2019

Great course! I feel some great accomplishment having finished this specialization I began 2 months ago. This one course could use a bit more of Keras hints or optional Keras course for those who do not have a regular use of the framework.

创建者 Xinyu L

Oct 31, 2018

This course is great if you want to know about sequence models for areas like nlp and speech recognition. They provide assignments that is solvable and their forum is active, and you can always find people solved your confuse on assignments.

创建者 yangfan x

Mar 28, 2018

The video lectures are awesome. But the project is too fast-paced. I feel I am just following the instruction and keras doc, instead of understanding how keras works. Testing me how to create dict in Python didn't make me feel happy. Thanks!

创建者 Tashreef M

May 19, 2020

I think considering the other courses, Sequence Model course was a little bit faster and it covered a lot of topics, so it was a little tough to keep up. But what I learnt was quite a lot and I think it is is quit a very good course indeed.