Error Analysis in Beam Search

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deeplearning.ai
4.8(26,755 個評分) | 290K 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

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4.8(26,755 個評分)
  • 5 stars
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  • 4 stars
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  • 3 stars
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  • 2 stars
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  • 1 star
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SS
2020年1月1日

Learnt a lot about new concepts in RNN and LSTM. Really wanted to learn about these models. This course helped a lot. Everything was new and so fascinating. Loved this course and our teach Andrew NG.

JS
2020年7月12日

brilliant course, great quality instruction from Andrew Ng. The only faults are that some of the labs have not been supervised properly being a but buggy and a couple of later lectures were very dry.

從本節課中
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.

教學方

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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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