Basic Models

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Получаемые навыки

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

Рецензии

4.8 (оценок: 26,476)
  • 5 stars
    83.67%
  • 4 stars
    13.10%
  • 3 stars
    2.49%
  • 2 stars
    0.46%
  • 1 star
    0.26%
WK
13 мар. 2018 г.

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

SD
27 сент. 2018 г.

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.

Из урока
Sequence models & Attention mechanism

Преподаватели

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    Andrew Ng

    Instructor
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    Kian Katanforoosh

    Curriculum Developer
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    Younes Bensouda Mourri

    Curriculum developer

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