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17,799 Bewertungen
1,934 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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251 - 275 von 1,912 Bewertungen für Sequence Models

von Daniel G

Dec 11, 2018

Auch der Letzte Kurs war sehr gut! Diese Spezialisierung hat sich sehr gelohnt. Der Stoff wurde gut erklärt und war sehr gut anwendbar.

von Yoan S

Dec 11, 2018

Excellent state of the art deep learning models made easy. Great job Andrew! And THANKS SO MUCH!!!

von Amir H

Dec 29, 2018

Amazing course with very useful and fun assignments.

von Octavian S

Jan 14, 2019


von Vasileios T

Jan 26, 2019

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

von David P

Jan 27, 2019

really useful!

von 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!

von Prateek G

Jan 26, 2019

This was a tough one. The specialization is well structured and slowly progresses in terms of complexity. Having worked on RNN, i thought I would ace the projects. Different story though at the end

von Ruiliang L

Jan 26, 2019

Very knowledgeable

von Zhaiyu C

Jan 26, 2019

A bit harder than previous courses. Pretty well organized as always.

von Carlos H B

Jan 26, 2019

Great course

von Jan N

Jan 13, 2019


von Bhaskar D

Dec 12, 2018

Excellent course. Highly recommended!

von 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

von Chen N

Jan 27, 2019

Really cool :)

von Vaibhav C

Apr 12, 2019

Another great course by Andrew NG

von Yuri

Apr 12, 2019

I like the great approach to the tasks which are no way dull, but are really inspiring.

von badreddine m

Feb 20, 2018

very good courses

von 毛文祥

Mar 15, 2018

excellent course!

von david t

Jun 20, 2018

Covers very interesting concepts!

von Magno S

Feb 22, 2018

I really enjoyed doing this course! Thank you very much to all!

von Ayyanar J

May 26, 2018

Good sessions and I got better understanding of LSTM and GRU.

von 程志强

Feb 14, 2018


von Sandeep K M

May 30, 2018

I was happy to learn about the Speech processing and more importantly when the system recognizes the "Activate" word. The way professor Andrew explains difficult topics is really appreciable. Thanks a ton for making the complex subject so easy to learn.