交叉熵(Cross-Entropy)是一種廣泛應用于機器學習和深度學習中的損失函數,尤其在分類任務中表現優異。通過衡量預測概率分布與真實標簽之間的差異,它能夠有效指導模型優化過程。無論是處理圖像識別、自然語言處理還是信號分析問題,掌握交叉熵原理對于提升算法性能至關重要。本頁面匯集了151個精選資源,包括教程、案例研究及代碼示例,助力電子工程師深入理解并靈活運用這一關鍵技術。
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
?? 鳳臨西北
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