Basic Models

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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%

JS

12 de Jul de 2020

Filled StarFilled StarFilled StarFilled StarFilled Star

brilliant course, great quality instruction from Andrew Ng. The only faults are that some of the labs have not been supervised properly being a but buggy and a couple of later lectures were very dry.

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.

Na lição

Sequence Models & Attention Mechanism

Augment your sequence models using an attention mechanism, an algorithm that helps your model decide where to focus its attention given a sequence of inputs. Then, explore speech recognition and how to deal with audio data.

Ministrado por

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    Andrew Ng

    Instructor

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    Kian Katanforoosh

    Senior Curriculum Developer

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    Younes Bensouda Mourri

    Curriculum developer

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