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23,734 Bewertungen
2,755 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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2351 - 2375 von 2,731 Bewertungen für Sequence Models

von Kiran S

Feb 04, 2019

Some inconsistencies with the HW level (week 2 basically told you what to write) but very good lectures.

von Brandon C

Dec 11, 2018

Keras exercises tough to get through based on provided information, but the content was superb as always

von Paul H C

Nov 19, 2018

Really good course. Exercises are not always connected to the core of the deep learning problem though..

von Sharon M

Sep 19, 2019

The course is great , in the assignments it is better to stick to single package and TF is preferable.

von Jorge L

Jan 29, 2019

Highly recommended course to understand the concept of speech recognition models, very real use cases.

von Fabrizio B

Jun 04, 2020

Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization

von Zhiliang W

Jan 25, 2019

Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.

von Zhao C

Apr 20, 2019

Great class. However, they are some typos/mistakes in the explanations of programming assignments.

von Amiya M

Oct 21, 2018

learned a lot but I wish their should be some sort of referencing material for further exploration

von Alex R

Feb 25, 2019

Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.

von MD Q A

Apr 09, 2018

more excercise should be there in last course, but overall content was very good

thanks Andrew ng

von M S S

May 14, 2018

The Attention model still needs more explanation. I haven't completely grasped attention models

von Jon-pierre H

Feb 28, 2018

More errors than most in the projects. Likely due to the rush of getting this final course out

von Lee H H J

Jun 13, 2020

Very good course, informative and easy to follow. Only problem I had is with its auto grader.

von Nojus D

Jul 12, 2020

Really good course but compared to others optional assigments lack instructions in this one.

von Alex F

Apr 08, 2019

My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!

von Phuong-Khanh H

Aug 23, 2018

The course is of high quality. However, it is not as good and clear as the previous courses.

von Wes H

Apr 15, 2018

Content needs a few improvements in quality but otherwise a valuable and instructive course.

von harm l

Feb 19, 2018

Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.

von Osvaldo R

Jul 02, 2020

The practice was more guided than other courses. Felt that the Coursera team did all for me

von Cze H Y

Aug 16, 2018

Perfect course except there are are some mistake/ambiguous instruction in course assignment

von Tshepiso

Apr 05, 2020

Great course. Would like it if he kept his notation consistent with what is in the papers.

von Sven S

Aug 09, 2019

a lot to learn, content is well presented as usual. one of the assignments requires rework

von 朱涧江

Mar 21, 2018

Seem like not as good as before course,Wait so much time but is not clear as course before

von Glorian Y

Oct 30, 2019

There are many bugs in the assignment. Else, the material content and videos are great!