本文将从表征学习的角度以及隐变量模型的角度探讨VAE模型,重点讲述VAE的三个技术
diff --git "a/2023/\346\267\261\345\272\246\345\255\246\344\271\240\344\270\255\347\232\204\346\255\243\345\210\231\345\214\226/index.html" "b/2023/\346\267\261\345\272\246\345\255\246\344\271\240\344\270\255\347\232\204\346\255\243\345\210\231\345\214\226/index.html" index 18449a7..c855a81 100644 --- "a/2023/\346\267\261\345\272\246\345\255\246\344\271\240\344\270\255\347\232\204\346\255\243\345\210\231\345\214\226/index.html" +++ "b/2023/\346\267\261\345\272\246\345\255\246\344\271\240\344\270\255\347\232\204\346\255\243\345\210\231\345\214\226/index.html" @@ -84,7 +84,7 @@
When you have eliminated the impossible, whatever remains, however -improbable, must be the truth...