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18,174 Bewertungen
1,965 Bewertungen

Über den Kurs

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.

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351 - 375 von 1,948 Bewertungen für Sequence Models

von Baliev D

Aug 30, 2018

There are some annoying typos in programming assignements, especially in week 1, but overall a very good course!

von Kazuki Y

Jul 24, 2018

Great overview of models for text data.

von Kunal V

Aug 18, 2018

amazing course

von N J K R

Aug 31, 2018

A very practical approach to teaching


Jul 25, 2018

Great course, great lectures and assignments. It would have been slightly better if the assignments required more input from students' side rather than providing most of the details.

von Yong H P

Jul 26, 2018

Now, I can understand how RNN and LSTM works and how to apply NLP to my model and application. Really fund and informative.

von 梁源通

Jul 26, 2018

Compared to the other four courses,I think this course little abridged

von Chen-kuan S

Jul 26, 2018

Very Useful!

von Mohamed E

Jul 25, 2018

nice course beginner friendly but instructor is not shy to cover advanced topics.

von Marcel M

Jul 27, 2018

This is a superb module which provides you with the skills that will enable you get going fast in developing real world applications that can be modeled as sequence data. You learn of the latest state of the art techniques of developing sequence models using techniques such as GRU's, LSTM's, how to debug them and also how to employ Attention models to make your models that much efficient for problems in NLP, Machine Translation and Speech Recognition. This course is a must for anyone who wants to be a sound practitioner of AI. I love it.

von Ashutosh P

Jul 28, 2018

Really good explanation on even the smallest of things, that's what I like about Prof. Andrew, he never leaves a page unturned.

von 徐立

Nov 04, 2018

great course!

von Isaac S J C

Nov 06, 2018

Great appreciation to Dr. Andrew Ng. The course has been incredibly well taught. Thank you so much for your enlightening lectures. I very much enjoyed the course, and I think it is very well structured and organized. The forum was very helpful when I got stuck in the programming exercises.

von Bogdan S

Nov 04, 2018


von Michael D A

Jul 12, 2018

Super-nice! Thank you Professor Andrew Ng

von Shankar G

Jul 13, 2018

The final course was very brief and bit harder to digest. The assignments and quiz where also tricky but, overall had fun. Thanks Andrew Ng and team for the Deep Learning Specialization course to be offered on Coursera.

von 康一帅

Jul 12, 2018


von Ankit S

Jul 13, 2018

This course was very good in terms of practical knowledge as it will keep challenging you in each and every assignment. It will make sure you utilize discussion forum thoroughly :) I loved it Course 4 and 5 are best.

von Dipan M

Jul 15, 2018

Like all other course in this specialization, this is also indeed a great course. It fundamentally clears concepts and gives very clear concpts for topics such as RNN and LSTM, which can ohterwise can be difficult to digest. Also, the programming excersices, built on great topics, suh as Music synthesis, Trigger word activation, are exciting to work on. The only feedback I would like to suggest, is that topics of Backpropogation for sequence model is critical and should have been taken up indepth in study rather than left to excerciss only. Overall this course is more fast paced and packed 3 weeks which should have been perhaps a 4 week course.

von Alexey K

Jul 15, 2018

Best course of an amazing series! Sums up every bit to complete the picture.

von Akshay J

Jul 12, 2018

Very well designed and effective teaching methodology.

von Joaquin C D

Jul 15, 2018

Genial curso, he descubierto un nuevo mundo de aplicaciones de deep learning.

von Alexandre O d M B

Jul 15, 2018

Amazing course.

von pengren

Jul 16, 2018

A very helpful basic class :D

von 吴雅婷

May 09, 2018

with more details instructed about GRU and LSTM