Why Sequence Models?

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강의 계획표 보기

배우게 될 기술

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

검토

4.8개(27,493개 평가)

  • 5 stars
    83.65%
  • 4 stars
    13.04%
  • 3 stars
    2.54%
  • 2 stars
    0.47%
  • 1 star
    0.28%

JY

2018년 10월 29일

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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.

SD

2018년 9월 27일

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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.

강사:

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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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