Word Representation

Loading...
Просмотреть программу курса

Получаемые навыки

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

Рецензии

4.8 (оценок: 26,167)
  • 5 stars
    83.65%
  • 4 stars
    13.13%
  • 3 stars
    2.50%
  • 2 stars
    0.46%
  • 1 star
    0.24%
JY
29 окт. 2018 г.

The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.

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
Natural Language Processing & Word Embeddings

Преподаватели

  • Placeholder

    Andrew Ng

    Instructor
  • Placeholder

    Kian Katanforoosh

    Curriculum Developer
  • Placeholder

    Younes Bensouda Mourri

    Curriculum developer

Ознакомьтесь с нашим каталогом

Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.