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Sequence Models, deeplearning.ai

4.8
Оценки: 13,115
Рецензии: 1,477

Об этом курсе

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....

Лучшие рецензии

автор: 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.

автор: 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!

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Рецензии: 1,459

автор: Thiago Henrique Martinelli

Apr 18, 2019

Poderia dar um pouco mais de instruções na hora de usar as funções do Keras. Ficou um pouco confuso.

No assignment da semana 3 (Machine translation). Tem um output que não precisa estar exatamente igual mas o curso não fala isso e acabei gastando bastante tempo nisso, só vi depois no fórum.

автор: Raksha Yadav

Apr 18, 2019

best course to start with NLP

автор: Bradly Martin

Apr 17, 2019

The scope of this course was highly relevant to me, but unfortunately many of the class materials were broken or otherwise incorrect, making some ungraded portions of the assignments difficult or impossible to achieve. Activity on the discussion boards indicates many people have tripped over this for at least the better part of a year, but no corrections have been made. This was quite frustrating and wasted a good amount of my time.

автор: Nitin Jain

Apr 17, 2019

I found this course bit difficult to grasp.

автор: Shashidhar soppin

Apr 16, 2019

Ultimate course on Deep Learning

автор: Lewis C. Levin

Apr 15, 2019

Full of appalling errors that have been present for over 1 year. No one fixes it. It is clear that since Ng was let go by Stanford and Baidu, he is trying to earn a living with deep learning_ai. This apparently is not working as the small income from Coursera is not sufficient. As a result the prerecorded classes remain on Coursera to accrue some residual income. But, Andrew Ng and the staff are apparently gone.

Sadly, since these classes are no longer based on REAL Stanford classes the quality has gone downhill. I would recommend not taking the deeplearng_ai classes. Stick to classes offered by currently employed professors at established universities--preferably classes that ARE the same as the university classes or, at least, those derived from actual classes.

автор: Sagar Karambelkar

Apr 15, 2019

The most difficult, and the best one of the series.

автор: Wei Li

Apr 15, 2019

Good

автор: Sorratat Sirirattanajakarin

Apr 15, 2019

Amazing course zero to hero, I can say !!

автор: Sebastian Javier Marchano

Apr 15, 2019

excellent