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学生对 提供的 Sequence Models 的评价和反馈

17,823 个评分
1,936 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....



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.


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.


76 - Sequence Models 的 100 个评论(共 1,915 个)

创建者 Bhaskar D

Dec 12, 2018

Excellent course. Highly recommended!


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.

创建者 srikanth m

Jan 02, 2019

Great course. Sometimes it got tough and boring in between, but good deal to learn

创建者 Arun T S

Jan 01, 2019

Great Course

创建者 CHU B T

Jan 02, 2019

Shortest way to get used to most of the up-to-date techniques used in deep neural network for sequential data!

创建者 Oleksiy S

Dec 30, 2018

Good insight to sequence models and their usage scope.

创建者 Ajay M

Dec 31, 2018

Great course for someone starting NLP using Deep learning.

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 Stephen H

Dec 31, 2018

An excellent course from Andrew Ng

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.

创建者 Carlos H B

Jan 26, 2019

Great course

创建者 David P

Jan 27, 2019

really useful!

创建者 Alam N

Jan 27, 2019

Finally, after 6 months achieved desired goal in Deep Learning Specialization.

Thanks to #andrewng #coursera team for motivation and opportunity. It was not possible but due to #andrewng motivational words and explained deep knowledge in simple words. I can't express my feeling in words. Thanks again

Best wishes for Andrew Ng and Coursera Team

创建者 Chen N

Jan 27, 2019

Really cool :)

创建者 Ananya R

Jan 27, 2019

Great Course, just like the rest in the specialisation! Really like the method of teaching!! Some sections of the assignment were coded before hand but would have been nice to be able to code them as well. Thanks

创建者 Ruiliang L

Jan 26, 2019

Very knowledgeable

创建者 Carlos S

Jan 27, 2019

Definitely worth it! A great way to end the series of courses in the specialization. Programming exercises are really well thought and fun!

创建者 Haris M

Jan 27, 2019

The Best!

创建者 Vasileios T

Jan 26, 2019

RNNs are incredible. And this course is very thought-provoking on that topic. And truly educational.

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.


Jan 04, 2019

Great Learning

创建者 Michael O

Jan 31, 2019

Very good for understanding how recurrent neural networks work. Highly recommended

创建者 Sarthak P P

Feb 02, 2019


创建者 CUI

Feb 03, 2019

great courses, big thanks to Andrew Ng