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deeplearning.ai
4.8 (18,890 件の評価) | 160K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 (18,890 件の評価)
  • 5 stars
    15,877 ratings
  • 4 stars
    2,419 ratings
  • 3 stars
    460 ratings
  • 2 stars
    93 ratings
  • 1 star
    41 ratings
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.

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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