Error analysis in beam search

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deeplearning.ai
4.8 (18,119 件の評価) | 150K在籍する学生
ディープラーニング 専門講座 における 5 の 5 コース
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学習するスキル

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

レビュー

4.8 (18,119 件の評価)
  • 5 stars
    15,213 ratings
  • 4 stars
    2,336 ratings
  • 3 stars
    439 ratings
  • 2 stars
    90 ratings
  • 1 star
    41 ratings
SB

Feb 19, 2018

Loved the course - it was very interesting. It is also pretty complex, so will probably go through it again to review the concepts and how the models work. Thank you for this wonderful course series!

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.

レッスンから
Sequence models & Attention mechanism

講師

  • 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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