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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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2476 - 2500 von 2,731 Bewertungen für Sequence Models

von David D

Jun 02, 2018

Notebooks seemed to be made in a hurry

von Dr. H H W

Sep 22, 2019

good insights for RNN and time series

von Miguel V

Dec 16, 2018

Some of the tests were a bit too easy

von Kailash K P C

Mar 27, 2020

Need more inputs for keras library.

von Ganesh M S

Apr 16, 2018

This sections was very interesting.

von Fu C C

Feb 09, 2018

an easy way to learn the conception

von Taihua L

Feb 25, 2018

Wish there was a tutorial on Keras

von Mustafa A

Dec 16, 2019

Not good as the previous courses.

von Yeshwanth R T

Mar 26, 2018

It seemed a bit rushed in the end

von Ganesh

Sep 06, 2019

Good place to get back to basics

von Belén C S F

Oct 27, 2018

not as good as the rest of the 5

von Bourne

May 07, 2018


von Nguyễn V T

Jul 08, 2020

Really helpful and intersting

von Siyavash T

Jun 20, 2018

Quite a good course overall.

von Kong L

Jun 03, 2018

difficult to understand well

von Jean M A S

Mar 10, 2018

As always, amazing content !

von Radu I

Feb 20, 2018

Cool course, learned LSTMs.

von gaozhipeng

Feb 19, 2018

amazing introduction to RNN

von Shashidhara K

Feb 13, 2018

more exercise would be nice

von 封智博

Jun 04, 2020


von Prateek N

Oct 03, 2018

Assignments are awesome!

von Zewei W

Feb 03, 2018

It's really interesting!

von Enyang W

Sep 17, 2019

it is really not easy..

von Ashit G

May 13, 2019

more material is needed

von kumar s

Dec 12, 2018

Good work by Andrew NG.