Attention Model Intuition

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Skills You'll Learn

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

Reviews

4.8 (29,870 ratings)

  • 5 stars
    83.63%
  • 4 stars
    13.01%
  • 3 stars
    2.58%
  • 2 stars
    0.47%
  • 1 star
    0.28%

JY

Oct 29, 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.

AM

Jun 30, 2019

The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.

From the lesson

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.

Taught By

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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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