Attention Model

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Kompetenzen, die Sie erwerben

Natural Language Processing, Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), Recurrent Neural Network, Attention Models

Bewertungen

4.8 (26,167 Bewertungen)
  • 5 stars
    83.65%
  • 4 stars
    13.13%
  • 3 stars
    2.50%
  • 2 stars
    0.46%
  • 1 star
    0.24%
JY
29. Okt. 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.

NM
20. Feb. 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.

Aus der Unterrichtseinheit
Sequence models & Attention mechanism

Unterrichtet von

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    Andrew Ng

    Instructor
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    Kian Katanforoosh

    Curriculum Developer
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    Younes Bensouda Mourri

    Curriculum developer

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