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Получаемые навыки

Recurrent Neural Network, Artificial Neural Network, Deep Learning, Long Short-Term Memory (ISTM)

Рецензии

4.8 (оценок: 25,373)
  • 5 stars
    83.56%
  • 4 stars
    13.20%
  • 3 stars
    2.52%
  • 2 stars
    0.46%
  • 1 star
    0.24%
SS
1 янв. 2020 г.

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.

NM
20 февр. 2018 г.

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.

Из урока
Sequence models & Attention mechanism

Преподаватели

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    Andrew Ng

    Instructor
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    Kian Katanforoosh

    Curriculum Developer
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    Teaching Assistant - Younes Bensouda Mourri

    Mathematical & Computational Sciences, Stanford University, deeplearning.ai

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