Refinements to Beam Search

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Skills You'll Learn

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

Reviews

4.8 (26,605 ratings)
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    83.70%
  • 4 stars
    13.08%
  • 3 stars
    2.48%
  • 2 stars
    0.46%
  • 1 star
    0.26%
SB
Feb 18, 2018

Loved the course - it was very interesting. It is also pretty complex, so will probably go through it again to review the concepts and how the models work. Thank you for this wonderful course series!

SD
Sep 27, 2018

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.

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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