Basic Models

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Skills You'll Learn

Long Short Term Memory (LSTM), Deep Learning, Artificial Neural Networks, Recurrent Neural Network, Natural Language Processing, Gated Recurrent Unit (GRU), Applied Machine Learning, Attention Models, Machine Learning Algorithms, Machine Learning, Linear Algebra, Python Programming

Reviews

4.8 (30,782 ratings)

  • 5 stars
    83.71%
  • 4 stars
    12.92%
  • 3 stars
    2.58%
  • 2 stars
    0.47%
  • 1 star
    0.30%

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.

JS

Jul 12, 2020

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.

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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