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學生對 提供的 Sequence Models 的評價和反饋

17,638 個評分
1,922 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....



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.


226 - Sequence Models 的 250 個評論(共 1,902 個)

創建者 Qasid S

Mar 12, 2019

Really an amazing course. :)

創建者 Juilee D

Mar 15, 2019

Very beautifully taught

創建者 Shirish P

Mar 13, 2019


創建者 唐章源

Mar 14, 2019


創建者 杨伟

Mar 14, 2019

A Very Excellent Course!!!

創建者 Camilo G

Mar 14, 2019

Great course

創建者 Gopi P V R

Mar 16, 2019

It's great course to get concepts right and overview. It will be great if you add further programming assignments(other than partially coded ones) or resources as such where one can practice what he had learned as optional.

創建者 Raivis J

Mar 18, 2019

This is the hardest course in the specialisation, and may take some extra effort. For practical assignments I recommend getting familiar with Keras syntax and workflow, as here there is little hand-holding here,. the focus is on actual model architecture and algorithms.

創建者 Kishan S

Mar 19, 2019


創建者 Jan N

Jan 13, 2019



Jan 12, 2019

Thanks!!! i owe you a lot Prof Ng. Thanks again

創建者 samiran

Jan 12, 2019

Great course by Andrew Ng! The man is a legend.

創建者 Philip W S K

Dec 27, 2018

Wonderful course series to get quick start on AI learning.

創建者 Shravan M

Dec 27, 2018

Very thankful to Professor Andrew and course instructors and mentors.

I have learned a lot and feel very confident going forward applying the deep learning skills I have learnt. THANK YOU !!!

創建者 罗炜儒

Dec 14, 2018


創建者 Mukund C

Dec 14, 2018

Best in the series

創建者 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

創建者 Sushanta P

Dec 15, 2018

Andrew Ng at it best.

創建者 Octavian S

Jan 14, 2019


創建者 Constantine E

Jan 14, 2019

Excellent course!!!

The only feedback for improvement is that it took me much longer time to complete the homeworks than advertised. So probably the work estimates need to be refined.

創建者 Amir H

Dec 29, 2018

Amazing course with very useful and fun assignments.


Dec 30, 2018


創建者 Jeffrey V V

Jan 15, 2019

I learned a lot about how to put together recurrent neural networks.

創建者 Mecu M

Dec 29, 2018

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

創建者 Daniil Y

Jan 15, 2019

Amazing Course. Reccomend to everyone, who is interested in Deep Learning.