建筑物提取matlab代码-adanet:基于文章AdaNet-人工神经网络的自适应结构学习
紫外线matlab代码艾达网
AdaNet：人工神经网络的自适应结构学习
参考资料：Cortes,
C.,
Gonzalvo,
X.,
Kuznetsov,
V.,
Mohri,
M.
&
Yang,
S..
(2017)。
AdaNet：人工神经网络的自适应结构学习。
第
34
届机器学习国际会议论文集，PMLR
70:874-883
这个
Python
项目旨在实现
AdaNet
的
API，使用基于文章的算法：简而言之，这个模型正在根据它适合的数据复杂性从头构建一个神经网络，
这就是它命名为自适应模型的原因。
对于这个实现，手头的问题总是一个二元分类。
在拟合操作期间，它将构建隐藏层和每层中的神经元数量。
决定是更深（添加隐藏层）还是更宽（将神经元添加到现有层），
或者更新现有的神经元权重以封闭的计算形式完成（通过使用巴拿赫空间对偶）文章中所示。
最后，它将优化最佳神经元（添加或现有）的权重，更新参数并进行迭代。
文章讲了AdaNet的几个变种，这是AdaNet.CVX的实现，
在附录
C
中解释
-
以封闭形式解决每个步骤中的凸子问题。
文章
[v.1]
的先前版本中显示了对该
文件下载
资源详情
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