交叉熵(Cross-Entropy)是一种广泛应用于机器学习和深度学习中的损失函数,尤其在分类任务中表现优异。通过衡量预测概率分布与真实标签之间的差异,它能够有效指导模型优化过程。无论是处理图像识别、自然语言处理还是信号分析问题,掌握交叉熵原理对于提升算法性能至关重要。本页面汇集了151个精选资源,包括教程、案例研究及代码示例,助力电子工程师深入理解并灵活运用这一关键技术。
Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization....
📅 2014-12-20
👤 love_stanford
measure through
the cross-entropy of test data. In addition,
we introduce two novel smoothing techniques,
one a variation of Jelinek-Mercer
smooth...
📅 2014-01-06
👤 qilin
It is cross sample entropy code
It will be helpful for nonlinear dynamics...
📅 2013-12-10
👤 凤临西北
a set of cross-platform tools that is useful for programming the GBA written in Java....
📅 2015-01-06
👤 yd19890720
Libnet is a cross-platform library aimed at game developers. It has an abstract high level API, which encourages developers to make their games portab...
📅 2015-01-14
👤 ghostparker