Bidirectional RNN

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Получаемые навыки

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

Рецензии

4.8 (оценок: 26,146)
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  • 4 stars
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  • 3 stars
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  • 2 stars
    0.46%
  • 1 star
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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.

MH
21 апр. 2020 г.

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.

Из урока
Recurrent Neural Networks
Learn about recurrent neural networks. This type of model has been proven to perform extremely well on temporal data. It has several variants including LSTMs, GRUs and Bidirectional RNNs, which you are going to learn about in this section.

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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