Basic Models

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deeplearning.ai
4.8(26,167 個評分) | 280K 名學生已註冊
課程 5(共 5 門,深度学习 專項課程
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您將學習的技能

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

審閱

4.8(26,167 個評分)
  • 5 stars
    83.65%
  • 4 stars
    13.13%
  • 3 stars
    2.50%
  • 2 stars
    0.46%
  • 1 star
    0.24%
JY
2018年10月29日

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.

NM
2018年2月20日

Hope can elaborate the backpropagation of RNN much more. BP through time is a bit tricky though we do not need to think about it during implementation using most of existing deep learning frameworks.

從本節課中
Sequence models & Attention mechanism

教學方

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    Andrew Ng

    Instructor
  • Placeholder

    Kian Katanforoosh

    Curriculum Developer
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    Younes Bensouda Mourri

    Curriculum developer

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