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Sequence Models,

Оценки: 10,095
Рецензии: 1,181

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. 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: 1,168

автор: Sushanta Panda

Dec 15, 2018

Andrew Ng at it best.

автор: Mukund Chavali

Dec 14, 2018

Best in the series

автор: 罗炜儒

Dec 14, 2018


автор: Emanuel Garbin

Dec 13, 2018

Great introduction to LSTMs, RNNs, GRUs, NLP and speech recognition.

автор: Bhaskar Deka

Dec 12, 2018

Excellent course. Highly recommended!

автор: kumar saharsh

Dec 12, 2018

Good work by Andrew NG.

автор: Gorden

Dec 12, 2018

it's very difficult to submit last programming exercise "trigger word"

автор: 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.

автор: Brandon Crosbie

Dec 11, 2018

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

автор: Yoan SCHNEE

Dec 11, 2018

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