Error analysis in beam search

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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: 26,169)
  • 5 stars
    83.65%
  • 4 stars
    13.13%
  • 3 stars
    2.50%
  • 2 stars
    0.46%
  • 1 star
    0.24%
AM
30 июня 2019 г.

The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.

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

  • Andrew Ng

    Instructor
  • Kian Katanforoosh

    Curriculum Developer
  • Younes Bensouda Mourri

    Curriculum developer

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