Speech Recognition

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강의 계획서 보기

배우게 될 기술

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

검토

4.8개(26,754개 평가)
  • 5 stars
    83.68%
  • 4 stars
    13.07%
  • 3 stars
    2.50%
  • 2 stars
    0.47%
  • 1 star
    0.26%

SS

2020년 1월 1일

Filled StarFilled StarFilled StarFilled StarFilled Star

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.

MH

2020년 4월 21일

Filled StarFilled StarFilled StarFilled StarFilled Star

Very good. I have no complaints. I though instruction was very clear. Assignments were very helpful and challenging enough that I learned something, but not so challenging that I got stuck too often.

수업에서

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.

강사:

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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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