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Sequence Models,

11,592 classificações
1,327 avaliações

Informações sobre o curso

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....

Melhores avaliações

por 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!

por 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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1,311 avaliações

por Santosh Borse

Feb 19, 2019

I felt the last week had too many things packed together

por Shi Yihui

Feb 19, 2019

Programming Assignments are awesome! I learnt a lot from these notebooks.

por Jaiganesh Prabhakaran

Feb 18, 2019

The course is really good if you want to get a good understanding on the basics of deep learning. It would have been great if the course had more hand's on assignments than fill in the blanks kind of assignments in ipython notebook.

por Narender Pamu

Feb 17, 2019

With real time exercises more encouraging///

por Yanzeng Li

Feb 17, 2019

There are a lot of mistakes in programming assignment. Please update and fix it

por J. Christopher Bare

Feb 17, 2019

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

por Mo Rebaie

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.

por Andrei Kazialetski

Feb 16, 2019

Thank you very much!

por Andrei Voinea

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

por Yingyu Fu

Feb 15, 2019

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