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学生对 提供的 Sequence Models 的评价和反馈

17,747 个评分
1,929 个审阅


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. 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....



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.


Oct 30, 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.


51 - Sequence Models 的 75 个评论(共 1,908 个)

创建者 Ramesh N

Jan 19, 2019

Systematic, step by step approach to understanding sequence models and practical exercises to see them implemented with lots of guidance.

Thanks you!

创建者 Aleksa G

Jan 20, 2019

I really liked this last course as I did not have much experience with NLP and with audio in general, as I did have with computer vision and image processing. The keyword detection model is really cool! After this specialization I am starting to build my own ML projects!

创建者 Sarthak P P

Feb 02, 2019


创建者 Joachim D

Feb 03, 2019

Great course, very clear presentation and interesting examples on how to prepare data and how to use keras. Very interesting on how easy it is to build & train complex networks with keras (once you have the data..)

创建者 CUI

Feb 03, 2019

great courses, big thanks to Andrew Ng

创建者 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.

创建者 YanDing

Jan 22, 2019

very good

创建者 Lucas G S P

Jan 21, 2019

I appreciate all the hard work and effort Andrew and his team puts in all his material.

I had hard time with most of Keras homework’s, I think it's hard to get the overall logic of a framework without an extensive explanation.

Besides that, the topics discussed are amazing.

创建者 Gordon W

Jan 21, 2019

Thank you very much Andrew and TAs.

创建者 Stephen H

Dec 31, 2018

An excellent course from Andrew Ng

创建者 Ajay M

Dec 31, 2018

Great course for someone starting NLP using Deep learning.


Dec 30, 2018


创建者 Mecu M

Dec 29, 2018

Excellent like the rest of the courses from this specialisation! Thank you Andrew!

创建者 Oleksiy S

Dec 30, 2018

Good insight to sequence models and their usage scope.

创建者 Daniel A P C

Dec 31, 2018

the course was excellent, I learned a lot, the only problem was the python notebook which was very slow and had many errors

创建者 Amit P

Dec 31, 2018

Andrew's ability to make complex topics so easy to understand is amazing. His explanation of the 'intuition' behind complex stuff makes you really understand what is going on and why. Very happy with the course, it provided everything I needed to know to understand it in detail and implement it. Thanks Andrew for making this course.


Dec 15, 2018

Wonderful course with beautiful intuitions all around , one thing though bit of more mathematics involved

创建者 YASH H J

Dec 16, 2018

Great one Andrew NG sir!

创建者 Michał K

Dec 15, 2018

Very good course to start dealing with RNN's.

Thank You Andrew for Your whole specialization. Now i feel like a superhero on a rise

创建者 Mukund C

Dec 14, 2018

Best in the series

创建者 罗炜儒

Dec 14, 2018


创建者 Sushanta P

Dec 15, 2018

Andrew Ng at it best.

创建者 Hu H

Jan 03, 2019

Thanks very much for Andrew Ng and the other teachers, who made a series of these awesome classes including videos or programming works running on the jupyter-notebook. And also thanks the finical aid provided by the Coursera, I can't finished this course without your generous help. After a hard work with the Deep Learning classes, not only gained the knowledges, but inspired by the spirt from Andrew that "try to help people with your technology", which actually changed my mind, I will study more, do better to remember that in my life. Thank you and hope the world be a better place.

创建者 Arun T S

Jan 01, 2019

Great Course


Jan 02, 2019

The course is great and it builds on the last 4 course of deep learning specialization. It contains many nice topics of deep learning like RNN, NLP etc. There are some nice assignments also which you can relate with the real world. The whole Deep Learning specialization is great and every topic is nicely explained by Sir Andrew Ng.