Conclusion and thank you

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deeplearning.ai
4.8(18,872 个评分) | 160K 名学生已注册
课程 5(共 5 门,深度学习 专项课程
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您将学习的技能

Recurrent Neural Network, Artificial Neural Network, Deep Learning, Long Short-Term Memory (ISTM)

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4.8(18,872 个评分)
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NM

Feb 21, 2018

Hope can elaborate the backpropagation of RNN much more. BP through time is a bit tricky though we do not need to think about it during implementation using most of existing deep learning frameworks.

SD

Sep 28, 2018

Great hands on instruction on how RNNs work and how they are used to solve real problems. It was particularly useful to use Conv1D, Bidirectional and Attention layers into RNNs and see how they work.

从本节课中
Sequence models & Attention mechanism

教学方

  • Andrew Ng

    Andrew Ng

    CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain
  • Head Teaching Assistant - Kian Katanforoosh

    Head Teaching Assistant - Kian Katanforoosh

    Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec
  • Teaching Assistant - Younes Bensouda Mourri

    Teaching Assistant - Younes Bensouda Mourri

    Mathematical & Computational Sciences, Stanford University, deeplearning.ai

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