论文精读：Deep Neural Decision Trees

时间 2021-06-12

标签论文精读深度学习神经网络 pytorch 机器学习 tensorflow 繁體版

原文原文链接

Deep Neural Decision Trees Soft binning function Soft binning function 这个函数的功能为：输入一个标量 x x x ，生成标量 x x x 属于的区间的索引。具体如何实现的呢？往下看：假设我们有一个连续的变量 x x x，我们想把它分隔成 n + 1 n+1 n+1 个间隔。这样就需要 n n n 个切割点（cut point

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1. [论文解读]NBDT: Neural-Backed Decision Trees
2. Decision Trees
3. Introduction to Decision Trees
4. Applying decision trees
5. [论文解读] Concolic Testing for Deep Neural Networks
6. 论文阅读：Deep Neural Networks for Object Detection
7. Supervised Learning-------Decision Trees
8. Multi-Layered Gradient Boosting Decision Trees
9. sklearn 的 Decision Trees
10. [deep compression] compressing deep neural networks 论文学习
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1. [论文解读]NBDT: Neural-Backed Decision Trees
2. Decision Trees
3. Introduction to Decision Trees
4. Applying decision trees
5. [论文解读] Concolic Testing for Deep Neural Networks
6. 论文阅读：Deep Neural Networks for Object Detection
7. Supervised Learning-------Decision Trees
8. Multi-Layered Gradient Boosting Decision Trees
9. sklearn 的 Decision Trees
10. [deep compression] compressing deep neural networks 论文学习

>>更多相关文章<<