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Sequence Models,

11,648 個評分
1,330 個審閱


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....


創建者 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!

創建者 JY

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.


1,315 個審閱

創建者 Fabian Alejandro Ritter Gutierrez

Feb 21, 2019

Well organized, concepts are explained clearly. Fun assignments. I felt this one was the toughest, but that made it more interesting.

創建者 xuezhibo

Feb 20, 2019

The last course is a little bit more difficult than the previous! Although I majored in Civil Engineering and got my Master's degree in 2018, since I finished the Machine Learning class of Ng 2 months ago,I found this art is so charming and powerful ,so I continued to finish the CS229, That is also a wonderful course!! And today,this DL course was also completed, now I am attending the CS231N class~ Thank you Ng ,thank u cousera, because of you,I have a chance to attend those amazing course from the most famous university. Ng,thanks,you are doing a great thing,thank u!!

創建者 Dennis Yan

Feb 20, 2019

Thanks Ng

創建者 Nathan Powell

Feb 20, 2019

I'm blown away by how quickly this series of courses brought me from thinking a neural network was a magic box full of fairy dust, to being able to understand even the (al)most complex of network architectures and what makes them tick at every level at a glance. A lot of time has obviously gone into structuring this course; not an ounce of fat present and the format of developing intuition before diving into the nitty gritty and optional further learning resonates with me on so many levels. Thank you Andrew Ng and the team at and coursera!

創建者 Santosh Borse

Feb 19, 2019

I felt the last week had too many things packed together

創建者 Shi Yihui

Feb 19, 2019

Programming Assignments are awesome! I learnt a lot from these notebooks.

創建者 Jaiganesh Prabhakaran

Feb 18, 2019

The course is really good if you want to get a good understanding on the basics of deep learning. It would have been great if the course had more hand's on assignments than fill in the blanks kind of assignments in ipython notebook.

創建者 Narender Pamu

Feb 17, 2019

With real time exercises more encouraging///

創建者 Yanzeng Li

Feb 17, 2019

There are a lot of mistakes in programming assignment. Please update and fix it

創建者 J. Christopher Bare

Feb 17, 2019

Thanks very much. This course was really fun. I can't wait to try using these ideas outside of class!