Chevron Left
Zurück zu Sequence Models

Kursteilnehmer-Bewertung und -Feedback für Sequence Models von

16,732 Bewertungen
1,830 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.

Filtern nach:

151 - 175 von 1,811 Bewertungen für Sequence Models

von Prasanta G

Jan 11, 2019

The excercise gave very little room to learn and everything was mostly spoon fed

von Siddharth B

Jan 11, 2019

I am grateful to Professor Andrew Ng. and the entire team of for giving me the platform to learn, practice and showcase the deep learning concepts in such an elegant and concise manner. The journey has truly been educative and enlightening and I look forward to applying the concepts and skills in my further endeavors.

von YanDing

Jan 22, 2019

very good

von Justin K

Jan 24, 2019

Fantastic course as always by Andrew Ng

von 朱荣鑫

Jan 25, 2019

Excellent as before.


Feb 09, 2019


von Emmanuel J A

Feb 09, 2019

Great course on how RNNs work and how they are used to solve real problems (speech recognition, translation, names generation, music generation...).

von Syed M H J

Feb 10, 2019

Simply the best!

von Dipak K S

Feb 07, 2019

The course was challenging

von Akash G

Feb 06, 2019

hard to beat

von Prasenjit P

Feb 06, 2019


von Jefferson D R C

Feb 11, 2019

Very Good

von 张明

Feb 11, 2019


von Wei L

Feb 12, 2019

Thank you!! Very much appreciated!

von 梁礼强

Feb 13, 2019

Andrew is cool!!Nice course!

von Zifei S

Feb 13, 2019

Great course teaching state-of-the art NLP technologies. I wish the attention notebook could be improved, and the projects could get more flexible and in-depth. I also wish there could be a Keras tutorial that gives an overview of the framework.

von Yingyu F

Feb 15, 2019

Great course on sequence models! I never hear do detailed course

von Lai y c

Feb 14, 2019


von Adrian N K

Feb 14, 2019

It was an unbelievable journey through this Deep Learning Specialization! I really felt the power of the tools I obtained during the past 3 weeks that it took me to pass all 5 courses of the specialization. Many of the Programming Assignments are demanding and in the end I could be extremely satisfied that I succeeded in taking them all. Thanks a lot to Andrew Ng and all involved for making this sequence of courses accessible to people like me, and presenting it in such an understandable and interesting way! Now, I can start thinking of the vast potential for using Deep Neural Networks not only in Research and Space Sciences, where my interests are, but also in my daily life. Very many thanks again! AJ

von Youssef A S T

Feb 13, 2019


von Andrei V

Feb 15, 2019

A very good final for the Deep Learning Specialization. This course has made it very easy for me to understand new research papers that involve LSTM and RNN networks

von Andrei K

Feb 16, 2019

Thank you very much!

von Narender P

Feb 17, 2019

With real time exercises more encouraging///

von Mo R

Feb 17, 2019

Thank you coursera, Thank you Sir Andrew NG, I just finished the specialization, it seems extremely helpful, It's the most important specialization I have ever seen.

von J. C B

Feb 17, 2019

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