{"id":477525,"date":"2023-08-09T09:16:12","date_gmt":"2023-08-09T09:16:12","guid":{"rendered":""},"modified":"2023-09-05T11:14:52","modified_gmt":"2023-09-05T11:14:52","slug":"hyperparameter-tuning","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/hyperparameter-tuning\/","title":{"rendered":"\u0110i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1"},"content":{"rendered":"<h2>Gi\u1edbi thi\u1ec7u<\/h2>\n<p>\u0110i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 l\u00e0 m\u1ed9t kh\u00eda c\u1ea1nh quan tr\u1ecdng c\u1ee7a h\u1ecdc m\u00e1y v\u00e0 t\u1ed1i \u01b0u h\u00f3a nh\u1eb1m t\u1ed1i \u0111a h\u00f3a hi\u1ec7u su\u1ea5t c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh b\u1eb1ng c\u00e1ch ch\u1ecdn si\u00eau tham s\u1ed1 t\u1ed1i \u01b0u. Si\u00eau tham s\u1ed1 l\u00e0 c\u00e1c c\u00e0i \u0111\u1eb7t c\u1ea5u h\u00ecnh kh\u00f4ng \u0111\u01b0\u1ee3c h\u1ecdc trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o m\u00e0 do ng\u01b0\u1eddi d\u00f9ng \u0111\u1eb7t tr\u01b0\u1edbc khi b\u1eaft \u0111\u1ea7u \u0111\u00e0o t\u1ea1o. C\u00e1c tham s\u1ed1 n\u00e0y t\u00e1c \u0111\u1ed9ng \u0111\u00e1ng k\u1ec3 \u0111\u1ebfn hi\u1ec7u su\u1ea5t, kh\u1ea3 n\u0103ng t\u1ed5ng qu\u00e1t h\u00f3a v\u00e0 t\u1ed1c \u0111\u1ed9 h\u1ed9i t\u1ee5 c\u1ee7a m\u00f4 h\u00ecnh. Vi\u1ec7c t\u00ecm ra s\u1ef1 k\u1ebft h\u1ee3p ph\u00f9 h\u1ee3p c\u1ee7a c\u00e1c si\u00eau tham s\u1ed1 l\u00e0 m\u1ed9t nhi\u1ec7m v\u1ee5 \u0111\u1ea7y th\u00e1ch th\u1ee9c \u0111\u00f2i h\u1ecfi ph\u1ea3i th\u1eed nghi\u1ec7m v\u00e0 t\u1ed1i \u01b0u h\u00f3a c\u1ea9n th\u1eadn.<\/p>\n<h2>Ngu\u1ed3n g\u1ed1c c\u1ee7a vi\u1ec7c \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1<\/h2>\n<p>Kh\u00e1i ni\u1ec7m \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 c\u00f3 th\u1ec3 b\u1eaft ngu\u1ed3n t\u1eeb nh\u1eefng ng\u00e0y \u0111\u1ea7u c\u1ee7a h\u1ecdc m\u00e1y. L\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u1ec1 c\u1eadp \u0111\u1ebfn si\u00eau tham s\u1ed1 trong b\u1ed1i c\u1ea3nh m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c t\u00ecm th\u1ea5y trong t\u00e1c ph\u1ea9m c\u1ee7a Rumelhart, Hinton v\u00e0 Williams v\u00e0o n\u0103m 1986. Trong b\u00e0i b\u00e1o c\u1ee7a h\u1ecd, \u201cBi\u1ec3u di\u1ec5n h\u1ecdc t\u1eadp b\u1eb1ng c\u00e1c l\u1ed7i truy\u1ec1n ng\u01b0\u1ee3c\u201d, h\u1ecd \u0111\u00e3 gi\u1edbi thi\u1ec7u kh\u00e1i ni\u1ec7m v\u1ec1 t\u1ed1c \u0111\u1ed9 h\u1ecdc t\u1eadp, m\u1ed9t si\u00eau tham s\u1ed1 quan tr\u1ecdng trong thu\u1eadt to\u00e1n lan truy\u1ec1n ng\u01b0\u1ee3c.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1<\/h2>\n<p>\u0110i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 l\u00e0 m\u1ed9t qu\u00e1 tr\u00ecnh l\u1eb7p \u0111i l\u1eb7p l\u1ea1i nh\u1eb1m m\u1ee5c \u0111\u00edch t\u00ecm ra b\u1ed9 si\u00eau tham s\u1ed1 t\u1ed1i \u01b0u d\u1eabn \u0111\u1ebfn hi\u1ec7u su\u1ea5t m\u00f4 h\u00ecnh t\u1ed1t nh\u1ea5t. N\u00f3 li\u00ean quan \u0111\u1ebfn vi\u1ec7c ch\u1ecdn si\u00eau tham s\u1ed1, x\u00e1c \u0111\u1ecbnh kh\u00f4ng gian t\u00ecm ki\u1ebfm v\u00e0 s\u1eed d\u1ee5ng c\u00e1c thu\u1eadt to\u00e1n t\u1ed1i \u01b0u h\u00f3a \u0111\u1ec3 \u0111i\u1ec1u h\u01b0\u1edbng trong kh\u00f4ng gian t\u00ecm ki\u1ebfm.<\/p>\n<p>Hi\u1ec7u su\u1ea5t c\u1ee7a m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng th\u01b0\u1edbc \u0111o hi\u1ec7u su\u1ea5t, ch\u1eb3ng h\u1ea1n nh\u01b0 \u0111\u1ed9 ch\u00ednh x\u00e1c, \u0111\u1ed9 ch\u00ednh x\u00e1c, kh\u1ea3 n\u0103ng thu h\u1ed3i, \u0111i\u1ec3m F1 ho\u1eb7c sai s\u1ed1 b\u00ecnh ph\u01b0\u01a1ng trung b\u00ecnh, c\u00f9ng nhi\u1ec1u ch\u1ec9 s\u1ed1 kh\u00e1c. M\u1ee5c ti\u00eau c\u1ee7a vi\u1ec7c \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 l\u00e0 t\u00ecm ra c\u00e1c si\u00eau tham s\u1ed1 mang l\u1ea1i gi\u00e1 tr\u1ecb t\u1ed1t nh\u1ea5t cho ch\u1ec9 s\u1ed1 hi\u1ec7u su\u1ea5t \u0111\u00e3 ch\u1ecdn.<\/p>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1<\/h2>\n<p>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a vi\u1ec7c \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c chia th\u00e0nh c\u00e1c b\u01b0\u1edbc sau:<\/p>\n<ol>\n<li>\n<p><strong>L\u1ef1a ch\u1ecdn si\u00eau tham s\u1ed1<\/strong>: B\u01b0\u1edbc \u0111\u1ea7u ti\u00ean li\u00ean quan \u0111\u1ebfn vi\u1ec7c quy\u1ebft \u0111\u1ecbnh n\u00ean \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 n\u00e0o v\u00e0 x\u00e1c \u0111\u1ecbnh ph\u1ea1m vi ti\u1ec1m n\u0103ng c\u1ee7a ch\u00fang. C\u00e1c si\u00eau tham s\u1ed1 ph\u1ed5 bi\u1ebfn bao g\u1ed3m t\u1ed1c \u0111\u1ed9 h\u1ecdc t\u1eadp, k\u00edch th\u01b0\u1edbc l\u00f4, s\u1ed1 l\u1edbp, t\u1ef7 l\u1ec7 b\u1ecf h\u1ecdc v\u00e0 c\u01b0\u1eddng \u0111\u1ed9 ch\u00ednh quy h\u00f3a.<\/p>\n<\/li>\n<li>\n<p><strong>\u0110\u1ecbnh ngh\u0129a kh\u00f4ng gian t\u00ecm ki\u1ebfm<\/strong>: Sau khi ch\u1ecdn c\u00e1c si\u00eau tham s\u1ed1, m\u1ed9t kh\u00f4ng gian t\u00ecm ki\u1ebfm s\u1ebd \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh. Kh\u00f4ng gian t\u00ecm ki\u1ebfm x\u00e1c \u0111\u1ecbnh ph\u1ea1m vi gi\u00e1 tr\u1ecb m\u00e0 m\u1ed7i si\u00eau tham s\u1ed1 c\u00f3 th\u1ec3 l\u1ea5y trong qu\u00e1 tr\u00ecnh t\u1ed1i \u01b0u h\u00f3a.<\/p>\n<\/li>\n<li>\n<p><strong>Thu\u1eadt to\u00e1n t\u1ed1i \u01b0u h\u00f3a<\/strong>: C\u00e1c thu\u1eadt to\u00e1n t\u1ed1i \u01b0u h\u00f3a kh\u00e1c nhau \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 kh\u00e1m ph\u00e1 kh\u00f4ng gian t\u00ecm ki\u1ebfm v\u00e0 t\u00ecm ra c\u00e1c si\u00eau tham s\u1ed1 t\u1ed1i \u01b0u. M\u1ed9t s\u1ed1 thu\u1eadt to\u00e1n ph\u1ed5 bi\u1ebfn bao g\u1ed3m T\u00ecm ki\u1ebfm l\u01b0\u1edbi, T\u00ecm ki\u1ebfm ng\u1eabu nhi\u00ean, T\u1ed1i \u01b0u h\u00f3a Bayes v\u00e0 Thu\u1eadt to\u00e1n di truy\u1ec1n.<\/p>\n<\/li>\n<li>\n<p><strong>\u0110\u00e1nh gi\u00e1 hi\u1ec7u su\u1ea5t<\/strong>: T\u1ea1i m\u1ed7i l\u1ea7n l\u1eb7p l\u1ea1i c\u1ee7a qu\u00e1 tr\u00ecnh t\u1ed1i \u01b0u h\u00f3a, m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n v\u1edbi m\u1ed9t b\u1ed9 si\u00eau tham s\u1ed1 c\u1ee5 th\u1ec3 v\u00e0 hi\u1ec7u su\u1ea5t c\u1ee7a n\u00f3 \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 tr\u00ean m\u1ed9t b\u1ed9 x\u00e1c th\u1ef1c.<\/p>\n<\/li>\n<li>\n<p><strong>Ti\u00eau ch\u00ed ch\u1ea5m d\u1ee9t<\/strong>: Qu\u00e1 tr\u00ecnh t\u1ed1i \u01b0u h\u00f3a ti\u1ebfp t\u1ee5c cho \u0111\u1ebfn khi \u0111\u00e1p \u1ee9ng m\u1ed9t ti\u00eau ch\u00ed k\u1ebft th\u00fac nh\u1ea5t \u0111\u1ecbnh, ch\u1eb3ng h\u1ea1n nh\u01b0 s\u1ed1 l\u1ea7n l\u1eb7p t\u1ed1i \u0111a ho\u1eb7c s\u1ef1 h\u1ed9i t\u1ee5 c\u1ee7a th\u01b0\u1edbc \u0111o hi\u1ec7u su\u1ea5t.<\/p>\n<\/li>\n<\/ol>\n<h2>Ph\u00e2n t\u00edch c\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1<\/h2>\n<p>\u0110i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 cung c\u1ea5p m\u1ed9t s\u1ed1 t\u00ednh n\u0103ng ch\u00ednh gi\u00fap n\u00f3 tr\u1edf n\u00ean c\u1ea7n thi\u1ebft \u0111\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c hi\u1ec7u su\u1ea5t ti\u00ean ti\u1ebfn trong c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y:<\/p>\n<ol>\n<li>\n<p><strong>C\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t m\u00f4 h\u00ecnh<\/strong>: B\u1eb1ng c\u00e1ch t\u1ed1i \u01b0u h\u00f3a si\u00eau tham s\u1ed1, hi\u1ec7u su\u1ea5t c\u1ee7a m\u00f4 h\u00ecnh c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c n\u00e2ng cao \u0111\u00e1ng k\u1ec3, d\u1eabn \u0111\u1ebfn \u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 kh\u00e1i qu\u00e1t h\u00f3a t\u1ed1t h\u01a1n.<\/p>\n<\/li>\n<li>\n<p><strong>Hi\u1ec7u qu\u1ea3 t\u00e0i nguy\u00ean<\/strong>: \u0110i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 ph\u00f9 h\u1ee3p cho ph\u00e9p s\u1eed d\u1ee5ng t\u00e0i nguy\u00ean hi\u1ec7u qu\u1ea3 b\u1eb1ng c\u00e1ch gi\u1ea3m nhu c\u1ea7u \u0111\u00e0o t\u1ea1o m\u00f4 h\u00ecnh qu\u00e1 m\u1ee9c.<\/p>\n<\/li>\n<li>\n<p><strong>Uy\u1ec3n chuy\u1ec3n<\/strong>: \u0110i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c \u00e1p d\u1ee5ng cho nhi\u1ec1u m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y kh\u00e1c nhau, t\u1eeb m\u00f4 h\u00ecnh h\u1ed3i quy truy\u1ec1n th\u1ed1ng \u0111\u1ebfn c\u00e1c ki\u1ebfn tr\u00fac h\u1ecdc s\u00e2u ph\u1ee9c t\u1ea1p.<\/p>\n<\/li>\n<li>\n<p><strong>T\u00ednh kh\u00e1i qu\u00e1t<\/strong>: M\u1ed9t m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111i\u1ec1u ch\u1ec9nh t\u1ed1t s\u1ebd c\u1ea3i thi\u1ec7n kh\u1ea3 n\u0103ng t\u1ed5ng qu\u00e1t h\u00f3a, gi\u00fap m\u00f4 h\u00ecnh ho\u1ea1t \u0111\u1ed9ng t\u1ed1t h\u01a1n tr\u00ean d\u1eef li\u1ec7u ch\u01b0a \u0111\u01b0\u1ee3c nh\u00ecn th\u1ea5y.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1c lo\u1ea1i \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1<\/h2>\n<p>K\u1ef9 thu\u1eadt \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i r\u1ed9ng r\u00e3i nh\u01b0 sau:<\/p>\n<table>\n<thead>\n<tr>\n<th>K\u1ef9 thu\u1eadt<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>T\u00ecm ki\u1ebfm l\u01b0\u1edbi<\/td>\n<td>T\u00ecm ki\u1ebfm to\u00e0n di\u1ec7n tr\u00ean m\u1ed9t t\u1eadp h\u1ee3p si\u00eau tham s\u1ed1 \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh tr\u01b0\u1edbc \u0111\u1ec3 t\u00ecm ra s\u1ef1 k\u1ebft h\u1ee3p t\u1ed1t nh\u1ea5t.<\/td>\n<\/tr>\n<tr>\n<td>T\u00ecm ki\u1ebfm ng\u1eabu nhi\u00ean<\/td>\n<td>L\u1ea5y m\u1eabu ng\u1eabu nhi\u00ean c\u00e1c si\u00eau tham s\u1ed1 t\u1eeb kh\u00f4ng gian t\u00ecm ki\u1ebfm, c\u00e1ch n\u00e0y c\u00f3 th\u1ec3 hi\u1ec7u qu\u1ea3 h\u01a1n T\u00ecm ki\u1ebfm l\u01b0\u1edbi.<\/td>\n<\/tr>\n<tr>\n<td>T\u1ed1i \u01b0u h\u00f3a Bayes<\/td>\n<td>S\u1eed d\u1ee5ng suy lu\u1eadn Bayes \u0111\u1ec3 m\u00f4 h\u00ecnh h\u00f3a hi\u1ec7u su\u1ea5t c\u1ee7a m\u00f4 h\u00ecnh v\u00e0 t\u1eadp trung t\u00ecm ki\u1ebfm v\u00e0o c\u00e1c si\u00eau tham s\u1ed1 \u0111\u1ea7y h\u1ee9a h\u1eb9n.<\/td>\n<\/tr>\n<tr>\n<td>Thu\u1eadt to\u00e1n di truy\u1ec1n<\/td>\n<td>B\u1eaft ch\u01b0\u1edbc qu\u00e1 tr\u00ecnh ch\u1ecdn l\u1ecdc t\u1ef1 nhi\u00ean \u0111\u1ec3 ph\u00e1t tri\u1ec3n v\u00e0 c\u1ea3i thi\u1ec7n c\u00e1c b\u1ed9 si\u00eau tham s\u1ed1 qua nhi\u1ec1u th\u1ebf h\u1ec7.<\/td>\n<\/tr>\n<tr>\n<td>Chi\u1ebfn l\u01b0\u1ee3c ti\u1ebfn h\u00f3a<\/td>\n<td>M\u1ed9t k\u1ef9 thu\u1eadt t\u1ed1i \u01b0u h\u00f3a d\u1ef1a tr\u00ean d\u00e2n s\u1ed1 l\u1ea5y c\u1ea3m h\u1ee9ng t\u1eeb thuy\u1ebft ti\u1ebfn h\u00f3a.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng \u0110i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1: Nh\u1eefng th\u00e1ch th\u1ee9c v\u00e0 gi\u1ea3i ph\u00e1p<\/h2>\n<p>Vi\u1ec7c s\u1eed d\u1ee5ng \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3 \u0111\u00f2i h\u1ecfi ph\u1ea3i gi\u1ea3i quy\u1ebft m\u1ed9t s\u1ed1 th\u00e1ch th\u1ee9c v\u00e0 hi\u1ec3u r\u00f5 c\u00e1c gi\u1ea3i ph\u00e1p ti\u1ec1m n\u0103ng:<\/p>\n<ol>\n<li>\n<p><strong>\u0110\u1ed9 ph\u1ee9c t\u1ea1p t\u00ednh to\u00e1n<\/strong>: Vi\u1ec7c \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 c\u00f3 th\u1ec3 t\u1ed1n k\u00e9m v\u1ec1 m\u1eb7t t\u00ednh to\u00e1n, \u0111\u1eb7c bi\u1ec7t \u0111\u1ed1i v\u1edbi c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn v\u00e0 c\u00e1c m\u00f4 h\u00ecnh ph\u1ee9c t\u1ea1p. Vi\u1ec7c s\u1eed d\u1ee5ng t\u00ednh to\u00e1n ph\u00e2n t\u00e1n v\u00e0 song song h\u00f3a c\u00f3 th\u1ec3 gi\u00fap t\u0103ng t\u1ed1c qu\u00e1 tr\u00ecnh.<\/p>\n<\/li>\n<li>\n<p><strong>Trang b\u1ecb qu\u00e1 m\u1ee9c<\/strong>: Si\u00eau tham s\u1ed1 \u0111\u01b0\u1ee3c \u0111i\u1ec1u ch\u1ec9nh k\u00e9m c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn t\u00ecnh tr\u1ea1ng trang b\u1ecb qu\u00e1 m\u1ee9c, trong \u0111\u00f3 m\u00f4 h\u00ecnh ho\u1ea1t \u0111\u1ed9ng t\u1ed1t tr\u00ean d\u1eef li\u1ec7u hu\u1ea5n luy\u1ec7n nh\u01b0ng l\u1ea1i ho\u1ea1t \u0111\u1ed9ng k\u00e9m tr\u00ean d\u1eef li\u1ec7u kh\u00f4ng nh\u00ecn th\u1ea5y. S\u1eed d\u1ee5ng x\u00e1c th\u1ef1c ch\u00e9o c\u00f3 th\u1ec3 gi\u1ea3m thi\u1ec3u v\u1ea5n \u0111\u1ec1 n\u00e0y.<\/p>\n<\/li>\n<li>\n<p><strong>\u0110\u1ecbnh ngh\u0129a kh\u00f4ng gian t\u00ecm ki\u1ebfm<\/strong>: Vi\u1ec7c x\u00e1c \u0111\u1ecbnh kh\u00f4ng gian t\u00ecm ki\u1ebfm th\u00edch h\u1ee3p cho m\u1ed7i si\u00eau tham s\u1ed1 l\u00e0 r\u1ea5t quan tr\u1ecdng. Ki\u1ebfn th\u1ee9c tr\u01b0\u1edbc \u0111\u00e2y, chuy\u00ean m\u00f4n v\u1ec1 l\u0129nh v\u1ef1c v\u00e0 th\u1eed nghi\u1ec7m c\u00f3 th\u1ec3 gi\u00fap thi\u1ebft l\u1eadp ph\u1ea1m vi h\u1ee3p l\u00fd.<\/p>\n<\/li>\n<li>\n<p><strong>Ngu\u1ed3n t\u00e0i nguy\u00ean gi\u1edbi h\u1ea1n<\/strong>: M\u1ed9t s\u1ed1 thu\u1eadt to\u00e1n t\u1ed1i \u01b0u h\u00f3a c\u00f3 th\u1ec3 y\u00eau c\u1ea7u nhi\u1ec1u l\u1ea7n l\u1eb7p \u0111\u1ec3 h\u1ed9i t\u1ee5. Trong nh\u1eefng tr\u01b0\u1eddng h\u1ee3p nh\u01b0 v\u1eady, c\u00e1c m\u00f4 h\u00ecnh d\u1eebng s\u1edbm ho\u1eb7c thay th\u1ebf c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 gi\u1ea3m m\u1ee9c ti\u00eau th\u1ee5 t\u00e0i nguy\u00ean.<\/p>\n<\/li>\n<\/ol>\n<h2>\u0110\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 so s\u00e1nh<\/h2>\n<p>\u1ede \u0111\u00e2y, ch\u00fang t\u00f4i so s\u00e1nh vi\u1ec7c \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 v\u1edbi c\u00e1c thu\u1eadt ng\u1eef li\u00ean quan kh\u00e1c:<\/p>\n<table>\n<thead>\n<tr>\n<th>Thu\u1eadt ng\u1eef<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0110i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1<\/td>\n<td>Qu\u00e1 tr\u00ecnh t\u1ed1i \u01b0u h\u00f3a si\u00eau tham s\u1ed1 \u0111\u1ec3 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y.<\/td>\n<\/tr>\n<tr>\n<td>\u0110\u00e0o t\u1ea1o ng\u01b0\u1eddi m\u1eabu<\/td>\n<td>Qu\u00e1 tr\u00ecnh h\u1ecdc c\u00e1c tham s\u1ed1 m\u00f4 h\u00ecnh t\u1eeb d\u1eef li\u1ec7u b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng m\u1ed9t b\u1ed9 si\u00eau tham s\u1ed1 c\u1ee5 th\u1ec3.<\/td>\n<\/tr>\n<tr>\n<td>\u0110\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh<\/td>\n<td>\u0110\u00e1nh gi\u00e1 hi\u1ec7u su\u1ea5t c\u1ee7a m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u00ean m\u1ed9t t\u1eadp d\u1eef li\u1ec7u ri\u00eang bi\u1ec7t b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00e1c s\u1ed1 li\u1ec7u \u0111\u00e3 ch\u1ecdn.<\/td>\n<\/tr>\n<tr>\n<td>K\u1ef9 thu\u1eadt t\u00ednh n\u0103ng<\/td>\n<td>Qu\u00e1 tr\u00ecnh l\u1ef1a ch\u1ecdn v\u00e0 chuy\u1ec3n \u0111\u1ed5i c\u00e1c t\u00ednh n\u0103ng li\u00ean quan \u0111\u1ec3 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t c\u1ee7a m\u00f4 h\u00ecnh.<\/td>\n<\/tr>\n<tr>\n<td>Chuy\u1ec3n ti\u1ebfp h\u1ecdc t\u1eadp<\/td>\n<td>T\u1eadn d\u1ee5ng ki\u1ebfn th\u1ee9c t\u1eeb m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc v\u00e0o m\u1ed9t nhi\u1ec7m v\u1ee5 li\u00ean quan \u0111\u1ec3 c\u1ea3i thi\u1ec7n m\u00f4 h\u00ecnh m\u1edbi.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 t\u01b0\u01a1ng lai<\/h2>\n<p>T\u01b0\u01a1ng lai c\u1ee7a vi\u1ec7c \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 c\u00f3 m\u1ed9t s\u1ed1 ph\u00e1t tri\u1ec3n \u0111\u1ea7y h\u1ee9a h\u1eb9n:<\/p>\n<ol>\n<li>\n<p><strong>\u0110i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 t\u1ef1 \u0111\u1ed9ng<\/strong>: Nh\u1eefng ti\u1ebfn b\u1ed9 trong h\u1ecdc m\u00e1y t\u1ef1 \u0111\u1ed9ng (AutoML) s\u1ebd d\u1eabn \u0111\u1ebfn c\u00e1c ph\u01b0\u01a1ng ph\u00e1p ph\u1ee9c t\u1ea1p h\u01a1n \u0111\u00f2i h\u1ecfi s\u1ef1 can thi\u1ec7p t\u1ed1i thi\u1ec3u c\u1ee7a ng\u01b0\u1eddi d\u00f9ng.<\/p>\n<\/li>\n<li>\n<p><strong>\u0110i\u1ec1u ch\u1ec9nh d\u1ef1a tr\u00ean h\u1ecdc t\u1eadp t\u0103ng c\u01b0\u1eddng<\/strong>: C\u00e1c k\u1ef9 thu\u1eadt l\u1ea5y c\u1ea3m h\u1ee9ng t\u1eeb h\u1ecdc t\u0103ng c\u01b0\u1eddng c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n \u0111\u1ec3 \u0111i\u1ec1u ch\u1ec9nh hi\u1ec7u qu\u1ea3 c\u00e1c si\u00eau tham s\u1ed1 trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o.<\/p>\n<\/li>\n<li>\n<p><strong>\u0110i\u1ec1u ch\u1ec9nh ph\u1ea7n c\u1ee9ng c\u1ee5 th\u1ec3<\/strong>: Khi ki\u1ebfn tr\u00fac ph\u1ea7n c\u1ee9ng ti\u1ebfp t\u1ee5c ph\u00e1t tri\u1ec3n, vi\u1ec7c \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c \u0111i\u1ec1u ch\u1ec9nh \u0111\u1ec3 khai th\u00e1c c\u00e1c kh\u1ea3 n\u0103ng ph\u1ea7n c\u1ee9ng c\u1ee5 th\u1ec3.<\/p>\n<\/li>\n<\/ol>\n<h2>\u0110i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1 v\u00e0 m\u00e1y ch\u1ee7 proxy<\/h2>\n<p>C\u00e1c m\u00e1y ch\u1ee7 proxy, gi\u1ed1ng nh\u01b0 c\u00e1c m\u00e1y ch\u1ee7 do OneProxy cung c\u1ea5p, \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1, \u0111\u1eb7c bi\u1ec7t l\u00e0 khi x\u1eed l\u00fd c\u00e1c t\u00e1c v\u1ee5 h\u1ecdc m\u00e1y quy m\u00f4 l\u1edbn. B\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng m\u00e1y ch\u1ee7 proxy, nh\u1eefng ng\u01b0\u1eddi th\u1ef1c h\u00e0nh h\u1ecdc m\u00e1y c\u00f3 th\u1ec3:<\/p>\n<ul>\n<li>Truy c\u1eadp t\u00e0i nguy\u00ean \u0111i\u1ec7n to\u00e1n ph\u00e2n t\u00e1n \u0111\u1ec3 t\u1ed1i \u01b0u h\u00f3a si\u00eau tham s\u1ed1 nhanh h\u01a1n.<\/li>\n<li>Thu th\u1eadp \u1ea9n danh c\u00e1c b\u1ed9 d\u1eef li\u1ec7u \u0111a d\u1ea1ng t\u1eeb nhi\u1ec1u ngu\u1ed3n kh\u00e1c nhau \u0111\u1ec3 kh\u00e1i qu\u00e1t h\u00f3a t\u1ed1t h\u01a1n.<\/li>\n<li>Ng\u0103n ch\u1eb7n vi\u1ec7c ch\u1eb7n IP ho\u1eb7c gi\u1edbi h\u1ea1n t\u1ed1c \u0111\u1ed9 trong qu\u00e1 tr\u00ecnh thu th\u1eadp d\u1eef li\u1ec7u \u0111\u1ec3 \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1.<\/li>\n<\/ul>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<p>\u0110\u1ec3 kh\u00e1m ph\u00e1 th\u00eam v\u1ec1 \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1, h\u1ecdc m\u00e1y v\u00e0 t\u1ed1i \u01b0u h\u00f3a, h\u00e3y tham kh\u1ea3o c\u00e1c t\u00e0i nguy\u00ean sau:<\/p>\n<ol>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/modules\/grid_search.html\" target=\"_new\" rel=\"noopener nofollow\">Scikit-learn \u2013 \u0110i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1<\/a><\/li>\n<li><a href=\"https:\/\/keras.io\/keras_tuner\/\" target=\"_new\" rel=\"noopener nofollow\">Keras Tuner \u2013 Th\u01b0 vi\u1ec7n \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1<\/a><\/li>\n<li><a href=\"https:\/\/hyperopt.github.io\/hyperopt\/\" target=\"_new\" rel=\"noopener nofollow\">Hyperopt - T\u1ed1i \u01b0u h\u00f3a si\u00eau tham s\u1ed1 kh\u00f4ng \u0111\u1ed3ng b\u1ed9 ph\u00e2n t\u00e1n<\/a><\/li>\n<li><a href=\"https:\/\/automl.github.io\/auto-sklearn\/master\/\" target=\"_new\" rel=\"noopener nofollow\">Auto-Sklearn \u2013 H\u1ecdc m\u00e1y t\u1ef1 \u0111\u1ed9ng<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/vn\/privacy\/\" target=\"_new\" rel=\"noopener\">M\u00e1y ch\u1ee7 proxy v\u00e0 quy\u1ec1n ri\u00eang t\u01b0 d\u1eef li\u1ec7u<\/a><\/li>\n<\/ol>","protected":false},"featured_media":468585,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477525","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Hyperparameter tuning: Enhancing Performance through Optimization<\/mark>","faq_items":[{"question":"What is hyperparameter tuning?","answer":"<p>Hyperparameter tuning is a crucial process in machine learning that involves optimizing the configuration settings, known as hyperparameters, to improve model performance. These hyperparameters significantly influence how well the model learns and generalizes from the training data.<\/p>"},{"question":"How does hyperparameter tuning work?","answer":"<p>Hyperparameter tuning is an iterative process that starts with selecting the hyperparameters to tune. A search space is defined, which determines the possible ranges for each hyperparameter. Optimization algorithms then explore this search space to find the best combination of hyperparameters that yield the highest model performance, as evaluated on a validation set.<\/p>"},{"question":"What are the key features of hyperparameter tuning?","answer":"<p>Hyperparameter tuning offers several benefits, including enhanced model performance, resource efficiency, flexibility across various models, and improved generalization.<\/p>"},{"question":"What types of hyperparameter tuning exist?","answer":"<p>There are different types of hyperparameter tuning techniques, including:<\/p><ul><li>Grid Search: An exhaustive search over predefined hyperparameter values.<\/li><li>Random Search: Randomly samples hyperparameters from the search space.<\/li><li>Bayesian Optimization: Uses Bayesian inference to guide the search.<\/li><li>Genetic Algorithms: Mimics natural selection to evolve hyperparameter sets.<\/li><li>Evolutionary Strategies: Population-based optimization inspired by evolution.<\/li><\/ul>"},{"question":"How can hyperparameter tuning be used effectively?","answer":"<p>Hyperparameter tuning can be computationally complex and prone to overfitting. To use it effectively, consider:<\/p><ul><li>Employing distributed computing and parallelization for faster optimization.<\/li><li>Using cross-validation to avoid overfitting.<\/li><li>Defining an appropriate search space based on domain expertise and experimentation.<\/li><li>Employing early stopping or surrogate models to manage limited resources.<\/li><\/ul>"},{"question":"What are the future perspectives of hyperparameter tuning?","answer":"<p>The future of hyperparameter tuning is promising with automated techniques, reinforcement learning-based tuning, and hardware-specific optimization on the horizon.<\/p>"},{"question":"How are proxy servers associated with hyperparameter tuning?","answer":"<p>Proxy servers, such as those offered by OneProxy, can greatly benefit hyperparameter tuning. They provide access to distributed computing resources, enable anonymous data collection, and prevent IP blocking or rate limiting during data collection.<\/p>"},{"question":"Where can I find more resources on hyperparameter tuning?","answer":"<p>For more information on hyperparameter tuning, machine learning, and optimization, check out the following links:<\/p><ol><li>Scikit-learn - Hyperparameter Tuning: <a href=\"https:\/\/scikit-learn.org\/stable\/modules\/grid_search.html\" target=\"_new\">link<\/a><\/li><li>Keras Tuner - Hyperparameter Tuning Library: <a href=\"https:\/\/keras.io\/keras_tuner\/\" target=\"_new\">link<\/a><\/li><li>Hyperopt - Distributed Asynchronous Hyperparameter Optimization: <a href=\"https:\/\/hyperopt.github.io\/hyperopt\/\" target=\"_new\">link<\/a><\/li><li>Auto-Sklearn - Automated Machine Learning: <a href=\"https:\/\/automl.github.io\/auto-sklearn\/master\/\" target=\"_new\">link<\/a><\/li><li>Proxy Servers and Data Privacy: <a href=\"https:\/\/oneproxy.pro\/privacy\" target=\"_new\">link<\/a><\/li><\/ol>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477525","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477525\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468585"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=477525"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}