Trigger Word Detection

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Destrezas que aprenderás

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

Reseñas

4.8 (26,169 calificaciones)
  • 5 stars
    83.65%
  • 4 stars
    13.13%
  • 3 stars
    2.50%
  • 2 stars
    0.46%
  • 1 star
    0.24%
JY
29 de oct. de 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 de feb. de 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.

De la lección
Sequence models & Attention mechanism

Impartido por:

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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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