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Sequence Models, deeplearning.ai

4.8
10,036 ratings
1,172 reviews

About this Course

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. deeplearning.ai 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....

Top reviews

By WK

Mar 14, 2018

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

By JY

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.

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1,161 Reviews

By Daniel Gläsner

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.

By Brandon Crosbie

Dec 11, 2018

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

By Yoan SCHNEE

Dec 11, 2018

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

By 陈辉

Dec 10, 2018

虽然后面的课程准备没有machine learning 那么充沛,但是依然是很好的课程

By Harold Lawrence Marzan Mercado

Dec 10, 2018

This Sequence Models and RNNs course was a very challenging course in the specialization similar to that of Convolution Networks. I've learned a lot on these topics, and I will continue expanding my knowledge from here on.

Overall, this is a great and complete specialization on Deep Learning.

Thank you professor Andrew Ng.

By Junfei Shen

Dec 10, 2018

The course content is great overall! The only thing I am a little unhappy is that one or two of the programming exercises have confusion instructions. But finally I made it under the help of peers on the discussion forum.

By Kadir Kirtac

Dec 09, 2018

Thank you Andrew Ng for the great tutorials. That absolutely shed lights ahead my career!

By Rebeen Ali Hamad

Dec 09, 2018

Thank you very much

By gregorius airlangga

Dec 09, 2018

Thank you, very great courses. Love it!

By Vinay Mittal

Dec 08, 2018

The best course of the specialization