Sampling Novel Sequences

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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 (26,935 ratings)

  • 5 stars
    83,63 %
  • 4 stars
    13,09 %
  • 3 stars
    2,52 %
  • 2 stars
    0,47 %
  • 1 star
    0,26 %

SS

1 янв. 2020 г.

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Learnt a lot about new concepts in RNN and LSTM. Really wanted to learn about these models. This course helped a lot. Everything was new and so fascinating. Loved this course and our teach Andrew NG.

SD

27 сент. 2018 г.

Filled StarFilled StarFilled StarFilled StarFilled Star

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.

Преподаватели

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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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