《Deep Forest: Towards an Alternative to Deep Neural Networks》理解

時間 2020-12-26

標籤深度學習简体版

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論文下載地址：http://xueshu.baidu.com/s?wd=paperuri%3A%28637f02600a538dc721ff4c3213ce2b7a%29&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http%3A%2F%2Farxiv.org%2Fpdf%2F1702.08835&ie=utf-8&sc_us=1

>>阅读原文<<

1. Deep Forest: Towards an Alternative to Deep Neural Networks (閱讀筆記)
2. 論文——Deep Forest: Towards an Alternative to Deep Neural Networks - 周志華老師深度森林第一篇
3. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
4. Improving Deep Neural Networks
5. Neural NILM: Deep Neural Networks Applied to Energy Disaggregation
6. Improving Deep Neural Networks [1]
7. An Overview of Multi-Task Learning in Deep Neural Networks
8. Neural Networks and Deep Learning
9. Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks
10. Improving Deep Neural Networks[3]
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1. Deep Forest: Towards an Alternative to Deep Neural Networks (閱讀筆記)
2. 論文——Deep Forest: Towards an Alternative to Deep Neural Networks - 周志華老師深度森林第一篇
3. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
4. Improving Deep Neural Networks
5. Neural NILM: Deep Neural Networks Applied to Energy Disaggregation
6. Improving Deep Neural Networks [1]
7. An Overview of Multi-Task Learning in Deep Neural Networks
8. Neural Networks and Deep Learning
9. Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks
10. Improving Deep Neural Networks[3]

>>更多相關文章<<