Deep Learning for Nature Language Processing --- 第四講（下）
A note on matrix implementations 將J對softmax的權重W和每個word vector進行求導： 儘量使用矩陣運算（向量化），不要使用for loop。 模型訓練中有兩個開銷比較大的運算：矩陣乘法f=Wx和指數函數exp Softmax(=logistic regression) is not very powerful softmax只是在原來的向量空間中給出
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相關文章
- 1. Deep Learning for Nature Language Processing---第四講(上)
- 2. Deep Learning for Nature Language Processing --- 第七講
- 3. Deep Learning for Nature Language Processing --- 第八講
- 4. Deep Learning for Nature Language Processing --- 第六講
- 5. Deep Learning for Nature Language Processing --- 第五講
- 6. CS224d: Deep Learning for Natural Language Process
- 7. 【筆記】CS224N Natural Language Processing with Deep Learning
- 8. Language Understanding for TextGames using Deep Reinforcement
- 9. 李宏毅：deep learning for language modeling
- 10. Recent Trends in Deep Learning Based Natural Language Processing(arXiv)筆記