Transformer Network Intuition

video-placeholder
Loading...
Visualizar o programa do curso

Habilidades que você aprenderá

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

Avaliações

4.8 (27,333 classificações)

  • 5 stars
    83,66%
  • 4 stars
    13,03%
  • 3 stars
    2,55%
  • 2 stars
    0,47%
  • 1 star
    0,27%

SD

27 de Set de 2018

Filled StarFilled StarFilled StarFilled StarFilled Star

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.

NM

20 de Fev de 2018

Filled StarFilled StarFilled StarFilled StarFilled Star

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.

Ministrado por

  • Placeholder

    Andrew Ng

    Instructor

  • Placeholder

    Kian Katanforoosh

    Senior Curriculum Developer

  • Placeholder

    Younes Bensouda Mourri

    Curriculum developer

Explore nosso catálogo

Registre-se gratuitamente e obtenha recomendações, atualizações e ofertas personalizadas.