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Attention Model

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View Syllabus

Skills You'll Learn

Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Tensorflow, Natural Language Processing, Applied Machine Learning, Large Language Modeling

Reviews

4.8 (30,908 ratings)

  • 5 stars
    83.74%
  • 4 stars
    12.89%
  • 3 stars
    2.58%
  • 2 stars
    0.47%
  • 1 star
    0.30%

JY

Oct 30, 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.

MI

Oct 16, 2019

This is one of the most comprehensive yet enjoyable courses in the whole specialization! There are several assignments of practical applications. Thanks for the time and effort put into this course.

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

  • Andrew Ng

    Andrew Ng

    Instructor

  • Kian Katanforoosh

    Kian Katanforoosh

    Senior Curriculum Developer

  • Younes Bensouda Mourri

    Younes Bensouda Mourri

    Curriculum developer

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