Basic Models

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deeplearning.ai
deeplearning.ai

4.8(27,781 个评分)

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课程 5(共 5 门,深度学习 专项课程

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您将学习的技能

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

审阅

4.8(27,781 个评分)

  • 5 stars
    83.60%
  • 4 stars
    13.07%
  • 3 stars
    2.55%
  • 2 stars
    0.48%
  • 1 star
    0.28%

AM

Jun 30, 2019

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.

NM

Feb 20, 2018

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.

从本节课中

Sequence Models & Attention Mechanism

Augment your sequence models using an attention mechanism, an algorithm that helps your model decide where to focus its attention given a sequence of inputs. Then, explore speech recognition and how to deal with audio data.

教学方

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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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