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16,646 Bewertungen
1,816 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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226 - 250 von 1,801 Bewertungen für Sequence Models

von Raivis J

Mar 18, 2019

This is the hardest course in the specialisation, and may take some extra effort. For practical assignments I recommend getting familiar with Keras syntax and workflow, as here there is little hand-holding here,. the focus is on actual model architecture and algorithms.

von Kishan S

Mar 19, 2019


von Jan N

Jan 13, 2019



Jan 12, 2019

Thanks!!! i owe you a lot Prof Ng. Thanks again

von samiran

Jan 12, 2019

Great course by Andrew Ng! The man is a legend.

von Philip W S K

Dec 27, 2018

Wonderful course series to get quick start on AI learning.

von Shravan M

Dec 27, 2018

Very thankful to Professor Andrew and course instructors and mentors.

I have learned a lot and feel very confident going forward applying the deep learning skills I have learnt. THANK YOU !!!

von 罗炜儒

Dec 14, 2018


von Mukund C

Dec 14, 2018

Best in the series

von Michał K

Dec 15, 2018

Very good course to start dealing with RNN's.

Thank You Andrew for Your whole specialization. Now i feel like a superhero on a rise

von Sushanta P

Dec 15, 2018

Andrew Ng at it best.

von Octavian S

Jan 14, 2019


von Constantine E

Jan 14, 2019

Excellent course!!!

The only feedback for improvement is that it took me much longer time to complete the homeworks than advertised. So probably the work estimates need to be refined.

von Amir H

Dec 29, 2018

Amazing course with very useful and fun assignments.


Dec 30, 2018


von Jeffrey V V

Jan 15, 2019

I learned a lot about how to put together recurrent neural networks.

von Mecu M

Dec 29, 2018

Excellent like the rest of the courses from this specialisation! Thank you Andrew!

von Daniil Y

Jan 15, 2019

Amazing Course. Reccomend to everyone, who is interested in Deep Learning.


Dec 15, 2018

Wonderful course with beautiful intuitions all around , one thing though bit of more mathematics involved

von Oscar R R

Nov 30, 2018

Awesome course to learn Deep Learning

von Martin T

Nov 30, 2018

I really enjoyed this course. Thanks for very interesting and practical tasks. It will be very helpful for my future work.

von Vinayak S

Dec 01, 2018

Great course

von f V S

Nov 14, 2018

The sequence model course is good , but compared to the convolutional neural net course it somewhat lacking in the content. But overall the concepts and assignments are good and challenging.

von LIU X

Nov 15, 2018

Wonderful course! WONDERFUL Specialization!

von YASH H J

Dec 16, 2018

Great one Andrew NG sir!