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Kompetenzen, die Sie erwerben

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

Bewertungen

4.8 (26,416 Bewertungen)
  • 5 stars
    83.68%
  • 4 stars
    13.09%
  • 3 stars
    2.49%
  • 2 stars
    0.46%
  • 1 star
    0.25%
JY
29. Okt. 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.

SD
27. Sep. 2018

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.

Aus der Unterrichtseinheit
Sequence models & Attention mechanism

Unterrichtet von

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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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