Language model and sequence generation

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学習するスキル

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

レビュー

4.8 (25,440 件の評価)
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  • 4 stars
    13.19%
  • 3 stars
    2.52%
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  • 1 star
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MH
2020年4月21日

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.

NM
2018年2月20日

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.

レッスンから
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.

講師

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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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