Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs
Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs What is RNN？ RNN的核心思想是利用時序信息。在傳統的神經網絡中，我們通常假設所有的輸入(輸出)相互之間都是獨立的。但是在很多實際的應用中這是一個非常不好的假設。比如我們要預測一個句子中的下一個單詞，我們最好能知道上一個單詞是什麼。
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相關文章
- 1. Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs
- 2. Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs學習筆記
- 3. Introduction to Recurrent Neural Networks
- 4. RNN教程, Part 1—Introduction to RNNs
- 5. Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks
- 6. Recurrent Neural Networks Tutorial閱讀筆記
- 7. Recurrent Neural Networks Tutorial, Part 3 – Backpropagation Through Time and Vanishing Gradients
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- 9. Introduction To Neural Networks
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