{"id":477206,"date":"2023-08-09T09:09:19","date_gmt":"2023-08-09T09:09:19","guid":{"rendered":""},"modified":"2023-09-05T11:14:16","modified_gmt":"2023-09-05T11:14:16","slug":"few-shot-learning","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/few-shot-learning\/","title":{"rendered":"H\u1ecdc \u00edt l\u1ea7n"},"content":{"rendered":"<h2>Gi\u1edbi thi\u1ec7u<\/h2>\n<p>H\u1ecdc \u00edt l\u1ea7n l\u00e0 m\u1ed9t c\u00e1ch ti\u1ebfp c\u1eadn ti\u00ean ti\u1ebfn trong l\u0129nh v\u1ef1c h\u1ecdc m\u00e1y nh\u1eb1m gi\u1ea3i quy\u1ebft th\u00e1ch th\u1ee9c c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh \u0111\u00e0o t\u1ea1o tr\u00ean d\u1eef li\u1ec7u h\u1ea1n ch\u1ebf. Kh\u00f4ng gi\u1ed1ng nh\u01b0 c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y truy\u1ec1n th\u1ed1ng y\u00eau c\u1ea7u l\u01b0\u1ee3ng l\u1edbn d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n \u0111\u1ec3 \u0111\u00e0o t\u1ea1o, ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc v\u00e0i l\u1ea7n cho ph\u00e9p c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc c\u00e1c nhi\u1ec7m v\u1ee5 m\u1edbi v\u00e0 kh\u00e1i qu\u00e1t h\u00f3a d\u1eef li\u1ec7u ch\u01b0a \u0111\u01b0\u1ee3c nh\u00ecn th\u1ea5y ch\u1ec9 v\u1edbi m\u1ed9t s\u1ed1 \u00edt v\u00ed d\u1ee5. B\u01b0\u1edbc \u0111\u1ed9t ph\u00e1 n\u00e0y c\u00f3 \u00fd ngh\u0129a quan tr\u1ecdng \u0111\u1ed1i v\u1edbi nhi\u1ec1u \u1ee9ng d\u1ee5ng kh\u00e1c nhau, t\u1eeb th\u1ecb gi\u00e1c m\u00e1y t\u00ednh v\u00e0 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean \u0111\u1ebfn robot v\u00e0 h\u1ec7 th\u1ed1ng ra quy\u1ebft \u0111\u1ecbnh t\u1ef1 \u0111\u1ed9ng.<\/p>\n<h2>Ngu\u1ed3n g\u1ed1c c\u1ee7a vi\u1ec7c h\u1ecdc \u00edt l\u1ea7n<\/h2>\n<p>Kh\u00e1i ni\u1ec7m h\u1ecdc v\u00e0i l\u1ea7n c\u00f3 th\u1ec3 b\u1eaft ngu\u1ed3n t\u1eeb s\u1ef1 ph\u00e1t tri\u1ec3n ban \u0111\u1ea7u c\u1ee7a tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 h\u1ecdc m\u00e1y. Ph\u01b0\u01a1ng ph\u00e1p n\u00e0y \u0111\u01b0\u1ee3c nh\u1eafc \u0111\u1ebfn l\u1ea7n \u0111\u1ea7u ti\u00ean th\u01b0\u1eddng l\u00e0 nh\u1edd c\u00f4ng tr\u00ecnh c\u1ee7a Tom Mitchell v\u00e0o n\u0103m 1980, khi \u00f4ng \u0111\u01b0a ra \u00fd t\u01b0\u1edfng \u201ch\u1ecdc t\u1eeb m\u1ed9t v\u00e0i v\u00ed d\u1ee5\u201d. Tuy nhi\u00ean, ph\u1ea3i \u0111\u1ebfn th\u1ebf k\u1ef7 21, v\u1edbi nh\u1eefng ti\u1ebfn b\u1ed9 trong h\u1ecdc s\u00e2u v\u00e0 m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh, ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc v\u00e0i l\u1ea7n m\u1edbi th\u1ef1c s\u1ef1 b\u1eaft \u0111\u1ea7u h\u00ecnh th\u00e0nh nh\u01b0 m\u1ed9t ph\u01b0\u01a1ng ph\u00e1p thi\u1ebft th\u1ef1c v\u00e0 hi\u1ec7u qu\u1ea3.<\/p>\n<h2>Hi\u1ec3u c\u00e1ch h\u1ecdc \u00edt l\u1ea7n<\/h2>\n<p>V\u1ec1 c\u1ed1t l\u00f5i, ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc v\u00e0i l\u1ea7n nh\u1eb1m m\u1ee5c \u0111\u00edch cho ph\u00e9p m\u00e1y m\u00f3c h\u1ecdc c\u00e1c kh\u00e1i ni\u1ec7m m\u1edbi m\u1ed9t c\u00e1ch nhanh ch\u00f3ng v\u00e0 hi\u1ec7u qu\u1ea3 v\u1edbi s\u1ed1 l\u01b0\u1ee3ng v\u00ed d\u1ee5 t\u1ed1i thi\u1ec3u. C\u00e1c ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc m\u00e1y truy\u1ec1n th\u1ed1ng, ch\u1eb3ng h\u1ea1n nh\u01b0 h\u1ecdc c\u00f3 gi\u00e1m s\u00e1t, g\u1eb7p kh\u00f3 kh\u0103n khi ph\u1ea3i \u0111\u1ed1i m\u1eb7t v\u1edbi s\u1ed1 l\u01b0\u1ee3ng d\u1eef li\u1ec7u \u0111\u00e0o t\u1ea1o h\u1ea1n ch\u1ebf. H\u1ecdc \u00edt l\u1ea7n kh\u1eafc ph\u1ee5c h\u1ea1n ch\u1ebf n\u00e0y b\u1eb1ng c\u00e1ch t\u1eadn d\u1ee5ng ki\u1ebfn th\u1ee9c c\u00f3 s\u1eb5n v\u00e0 c\u00e1ch bi\u1ec3u di\u1ec5n \u0111\u00e3 h\u1ecdc \u0111\u1ec3 th\u00edch \u1ee9ng nhanh ch\u00f3ng v\u1edbi c\u00e1c nhi\u1ec7m v\u1ee5 m\u1edbi.<\/p>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a vi\u1ec7c h\u1ecdc \u00edt l\u1ea7n<\/h2>\n<p>H\u1ecdc \u00edt l\u1ea7n bao g\u1ed3m m\u1ed9t s\u1ed1 k\u1ef9 thu\u1eadt v\u00e0 thu\u1eadt to\u00e1n cho ph\u00e9p c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc hi\u1ec7u qu\u1ea3 t\u1eeb c\u00e1c t\u1eadp d\u1eef li\u1ec7u nh\u1ecf. C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a h\u1ec7 th\u1ed1ng h\u1ecdc t\u1eadp v\u00e0i l\u1ea7n th\u01b0\u1eddng bao g\u1ed3m c\u00e1c th\u00e0nh ph\u1ea7n ch\u00ednh sau:<\/p>\n<ol>\n<li>\n<p><strong>Ng\u01b0\u1eddi h\u1ecdc c\u01a1 b\u1ea3n<\/strong>: Tr\u00ecnh h\u1ecdc c\u01a1 s\u1edf l\u00e0 m\u1ed9t m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc \u0111\u1ec3 h\u1ecdc c\u00e1c bi\u1ec3u di\u1ec5n phong ph\u00fa t\u1eeb l\u01b0\u1ee3ng l\u1edbn d\u1eef li\u1ec7u chung. N\u00f3 n\u1eafm b\u1eaft c\u00e1c t\u00ednh n\u0103ng v\u00e0 m\u1eabu thi\u1ebft y\u1ebfu c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c kh\u00e1i qu\u00e1t h\u00f3a cho c\u00e1c nhi\u1ec7m v\u1ee5 kh\u00e1c nhau.<\/p>\n<\/li>\n<li>\n<p><strong>H\u1ecdc s\u1ed1 li\u1ec7u<\/strong>: H\u1ecdc theo s\u1ed1 li\u1ec7u l\u00e0 m\u1ed9t kh\u00eda c\u1ea1nh quan tr\u1ecdng c\u1ee7a vi\u1ec7c h\u1ecdc \u00edt l\u1ea7n. N\u00f3 li\u00ean quan \u0111\u1ebfn vi\u1ec7c h\u1ecdc m\u1ed9t th\u01b0\u1edbc \u0111o t\u01b0\u01a1ng t\u1ef1 \u0111\u1ec3 c\u00f3 th\u1ec3 so s\u00e1nh c\u00e1c v\u00ed d\u1ee5 m\u1edbi v\u1edbi m\u1ed9t s\u1ed1 v\u00ed d\u1ee5 c\u00f3 s\u1eb5n c\u1ee7a m\u1ed7i l\u1edbp.<\/p>\n<\/li>\n<li>\n<p><strong>Si\u00eau h\u1ecdc t\u1eadp<\/strong>: C\u00f2n \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 \u201ch\u1ecdc \u0111\u1ec3 h\u1ecdc\u201d, si\u00eau h\u1ecdc t\u1eadp t\u1eadp trung v\u00e0o c\u00e1c m\u00f4 h\u00ecnh \u0111\u00e0o t\u1ea1o \u0111\u1ec3 th\u00edch \u1ee9ng nhanh ch\u00f3ng v\u1edbi c\u00e1c nhi\u1ec7m v\u1ee5 m\u1edbi b\u1eb1ng c\u00e1ch cho h\u1ecd ti\u1ebfp x\u00fac v\u1edbi nhi\u1ec1u nhi\u1ec7m v\u1ee5 li\u00ean quan kh\u00e1c nhau trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a vi\u1ec7c h\u1ecdc \u00edt l\u1ea7n<\/h2>\n<p>H\u1ecdc \u00edt l\u1ea7n th\u1ec3 hi\u1ec7n m\u1ed9t s\u1ed1 t\u00ednh n\u0103ng ch\u00ednh khi\u1ebfn n\u00f3 kh\u00e1c bi\u1ec7t v\u1edbi c\u00e1c ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc m\u00e1y truy\u1ec1n th\u1ed1ng:<\/p>\n<ul>\n<li>\n<p><strong>Th\u00edch \u1ee9ng nhanh<\/strong>: C\u00e1c m\u00f4 h\u00ecnh h\u1ecdc t\u1eadp ng\u1eafn g\u1ecdn c\u00f3 th\u1ec3 nhanh ch\u00f3ng th\u00edch \u1ee9ng v\u1edbi c\u00e1c nhi\u1ec7m v\u1ee5 m\u1edbi ch\u1ec9 b\u1eb1ng m\u1ed9t v\u00e0i v\u00ed d\u1ee5, gi\u00fap gi\u1ea3m nhu c\u1ea7u \u0111\u00e0o t\u1ea1o l\u1ea1i tr\u00ean di\u1ec7n r\u1ed9ng.<\/p>\n<\/li>\n<li>\n<p><strong>S\u1ef1 kh\u00e1i qu\u00e1t<\/strong>: Nh\u1eefng m\u00f4 h\u00ecnh n\u00e0y th\u1ec3 hi\u1ec7n kh\u1ea3 n\u0103ng kh\u00e1i qu\u00e1t h\u00f3a \u1ea5n t\u01b0\u1ee3ng, cho ph\u00e9p ch\u00fang x\u1eed l\u00fd d\u1eef li\u1ec7u ch\u01b0a t\u1eebng th\u1ea5y tr\u01b0\u1edbc \u0111\u00e2y m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3.<\/p>\n<\/li>\n<li>\n<p><strong>L\u1edbp h\u1ecdc \u00edt l\u1ea7n<\/strong>: Ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc v\u00e0i l\u1ea7n s\u1ebd hi\u1ec7u qu\u1ea3 h\u01a1n trong c\u00e1c t\u00ecnh hu\u1ed1ng c\u00f3 nhi\u1ec1u l\u1edbp nh\u01b0ng m\u1ed7i l\u1edbp ch\u1ec9 c\u00f3 m\u1ed9t v\u00e0i v\u00ed d\u1ee5.<\/p>\n<\/li>\n<li>\n<p><strong>Chuy\u1ec3n ti\u1ebfp h\u1ecdc t\u1eadp<\/strong>: H\u1ecdc t\u1eadp ng\u1eafn h\u1ea1n th\u00fac \u0111\u1ea9y h\u1ecdc t\u1eadp chuy\u1ec3n giao b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng ki\u1ebfn th\u1ee9c t\u1eeb c\u00e1c m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc \u0111\u1ec3 th\u00edch \u1ee9ng t\u1ed1t h\u01a1n v\u1edbi c\u00e1c nhi\u1ec7m v\u1ee5 m\u1edbi.<\/p>\n<\/li>\n<\/ul>\n<h2>C\u00e1c ki\u1ec3u h\u1ecdc t\u1eadp \u00edt l\u1ea7n<\/h2>\n<p>H\u1ecdc \u00edt l\u1ea7n c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i th\u00e0nh nhi\u1ec1u c\u00e1ch ti\u1ebfp c\u1eadn, m\u1ed7i c\u00e1ch \u0111\u1ec1u c\u00f3 \u0111i\u1ec3m m\u1ea1nh v\u00e0 \u1ee9ng d\u1ee5ng ri\u00eang. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 m\u1ed9t s\u1ed1 lo\u1ea1i ph\u1ed5 bi\u1ebfn:<\/p>\n<table>\n<thead>\n<tr>\n<th><strong>Ti\u1ebfp c\u1eadn<\/strong><\/th>\n<th><strong>S\u1ef1 mi\u00eau t\u1ea3<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>M\u1ea1ng nguy\u00ean m\u1eabu<\/strong><\/td>\n<td>S\u1eed d\u1ee5ng m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh s\u00e2u \u0111\u1ec3 t\u00ecm hi\u1ec3u kh\u00f4ng gian s\u1ed1 li\u1ec7u n\u01a1i c\u00e1c nguy\u00ean m\u1eabu l\u1edbp \u0111\u01b0\u1ee3c h\u00ecnh th\u00e0nh.<\/td>\n<\/tr>\n<tr>\n<td><strong>M\u1ea1ng ph\u00f9 h\u1ee3p<\/strong><\/td>\n<td>S\u1eed d\u1ee5ng c\u01a1 ch\u1ebf ch\u00fa \u00fd \u0111\u1ec3 so s\u00e1nh c\u00e1c v\u00ed d\u1ee5 h\u1ed7 tr\u1ee3 v\u00e0 truy v\u1ea5n nh\u1eb1m ph\u00e2n lo\u1ea1i c\u00e1c phi\u00ean b\u1ea3n m\u1edbi.<\/td>\n<\/tr>\n<tr>\n<td><strong>M\u1ea1ng Xi\u00eam<\/strong><\/td>\n<td>S\u1eed d\u1ee5ng hai m\u1ea1ng th\u1ea7n kinh c\u00f3 tr\u1ecdng s\u1ed1 \u0111\u01b0\u1ee3c chia s\u1ebb \u0111\u1ec3 t\u00ecm hi\u1ec3u c\u00e1c s\u1ed1 li\u1ec7u t\u01b0\u01a1ng t\u1ef1 \u0111\u1ec3 ph\u00e2n lo\u1ea1i.<\/td>\n<\/tr>\n<tr>\n<td><strong>Si\u00eau h\u1ecdc t\u1eadp (MAML)<\/strong><\/td>\n<td>\u0110\u00e0o t\u1ea1o c\u00e1c m\u00f4 h\u00ecnh v\u1ec1 c\u00e1c nhi\u1ec7m v\u1ee5 kh\u00e1c nhau \u0111\u1ec3 c\u1ea3i thi\u1ec7n kh\u1ea3 n\u0103ng th\u00edch \u1ee9ng v\u1edbi c\u00e1c nhi\u1ec7m v\u1ee5 m\u1edbi trong qu\u00e1 tr\u00ecnh tri\u1ec3n khai.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>S\u1eed d\u1ee5ng c\u00e1ch h\u1ecdc ng\u1eafn g\u1ecdn v\u00e0 gi\u1ea3i quy\u1ebft c\u00e1c th\u00e1ch th\u1ee9c<\/h2>\n<p>C\u00e1c \u1ee9ng d\u1ee5ng c\u1ee7a ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc t\u1eadp v\u00e0i l\u1ea7n l\u00e0 r\u1ea5t l\u1edbn v\u00e0 n\u00f3 ti\u1ebfp t\u1ee5c l\u00e0 m\u1ed9t l\u0129nh v\u1ef1c nghi\u00ean c\u1ee9u v\u00e0 ph\u00e1t tri\u1ec3n t\u00edch c\u1ef1c. M\u1ed9t s\u1ed1 c\u00e1ch ch\u00ednh \u0111\u1ec3 s\u1eed d\u1ee5ng ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc t\u1eadp v\u00e0i l\u1ea7n bao g\u1ed3m:<\/p>\n<ul>\n<li>\n<p><strong>Nh\u1eadn d\u1ea1ng \u0111\u1ed1i t\u01b0\u1ee3ng<\/strong>: H\u1ecdc v\u00e0i l\u1ea7n cho ph\u00e9p m\u00f4 h\u00ecnh nhanh ch\u00f3ng nh\u1eadn bi\u1ebft v\u00e0 ph\u00e2n lo\u1ea1i c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng m\u1edbi v\u1edbi s\u1ed1 l\u01b0\u1ee3ng m\u1eabu \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n t\u1ed1i thi\u1ec3u.<\/p>\n<\/li>\n<li>\n<p><strong>X\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean<\/strong>: N\u00f3 cho ph\u00e9p c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef n\u1eafm b\u1eaft c\u00e1c c\u1ea5u tr\u00fac c\u00fa ph\u00e1p m\u1edbi v\u00e0 hi\u1ec3u ng\u00f4n ng\u1eef theo ng\u1eef c\u1ea3nh c\u1ee5 th\u1ec3 v\u1edbi c\u00e1c m\u1eabu v\u0103n b\u1ea3n h\u1ea1n ch\u1ebf.<\/p>\n<\/li>\n<li>\n<p><strong>Ph\u00e1t hi\u1ec7n b\u1ea5t th\u01b0\u1eddng<\/strong>: H\u1ed7 tr\u1ee3 h\u1ecdc t\u1eadp \u00edt l\u1ea7n trong vi\u1ec7c x\u00e1c \u0111\u1ecbnh c\u00e1c s\u1ef1 ki\u1ec7n hi\u1ebfm g\u1eb7p ho\u1eb7c s\u1ef1 b\u1ea5t th\u01b0\u1eddng trong d\u1eef li\u1ec7u.<\/p>\n<\/li>\n<\/ul>\n<p>Nh\u1eefng th\u00e1ch th\u1ee9c li\u00ean quan \u0111\u1ebfn vi\u1ec7c h\u1ecdc \u00edt l\u1ea7n bao g\u1ed3m:<\/p>\n<ul>\n<li>\n<p><strong>S\u1ef1 khan hi\u1ebfm d\u1eef li\u1ec7u<\/strong>: D\u1eef li\u1ec7u \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n h\u1ea1n ch\u1ebf c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn vi\u1ec7c trang b\u1ecb qu\u00e1 m\u1ee9c v\u00e0 kh\u00f3 kh\u0103n trong vi\u1ec7c kh\u00e1i qu\u00e1t h\u00f3a.<\/p>\n<\/li>\n<li>\n<p><strong>\u0110\u1ed9 ph\u1ee9c t\u1ea1p c\u1ee7a nhi\u1ec7m v\u1ee5<\/strong>: H\u1ecdc \u00edt l\u1ea7n c\u00f3 th\u1ec3 g\u1eb7p kh\u00f3 kh\u0103n trong vi\u1ec7c x\u1eed l\u00fd c\u00e1c nhi\u1ec7m v\u1ee5 ph\u1ee9c t\u1ea1p v\u1edbi nhi\u1ec1u bi\u1ebfn th\u1ec3 ph\u1ee9c t\u1ea1p.<\/p>\n<\/li>\n<\/ul>\n<p>\u0110\u1ec3 gi\u1ea3i quy\u1ebft nh\u1eefng th\u00e1ch th\u1ee9c n\u00e0y, c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u \u0111ang kh\u00e1m ph\u00e1 nhi\u1ec1u chi\u1ebfn l\u01b0\u1ee3c kh\u00e1c nhau, ch\u1eb3ng h\u1ea1n nh\u01b0 k\u1ef9 thu\u1eadt t\u0103ng c\u01b0\u1eddng d\u1eef li\u1ec7u, k\u1ebft h\u1ee3p ki\u1ebfn th\u1ee9c v\u1ec1 mi\u1ec1n v\u00e0 n\u00e2ng cao c\u00e1c thu\u1eadt to\u00e1n si\u00eau h\u1ecdc.<\/p>\n<h2>\u0110\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 so s\u00e1nh<\/h2>\n<table>\n<thead>\n<tr>\n<th><strong>\u0110i\u1ec1u ki\u1ec7n<\/strong><\/th>\n<th><strong>S\u1ef1 mi\u00eau t\u1ea3<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>H\u1ecdc \u00edt l\u1ea7n<\/strong><\/td>\n<td>Hu\u1ea5n luy\u1ec7n c\u00e1c m\u00f4 h\u00ecnh tr\u00ean m\u1ed9t s\u1ed1 \u00edt v\u00ed d\u1ee5 \u0111\u1ec3 th\u00edch \u1ee9ng v\u00e0 kh\u00e1i qu\u00e1t h\u00f3a nhanh ch\u00f3ng.<\/td>\n<\/tr>\n<tr>\n<td><strong>H\u1ecdc t\u1eadp kh\u00f4ng b\u1eafn<\/strong><\/td>\n<td>M\u1edf r\u1ed9ng vi\u1ec7c h\u1ecdc v\u00e0i l\u1ea7n \u0111\u1ec3 nh\u1eadn bi\u1ebft c\u00e1c l\u1edbp kh\u00f4ng c\u00f3 v\u00ed d\u1ee5 n\u00e0o th\u00f4ng qua c\u00e1c li\u00ean k\u1ebft ng\u1eef ngh\u0129a.<\/td>\n<\/tr>\n<tr>\n<td><strong>Chuy\u1ec3n ti\u1ebfp h\u1ecdc t\u1eadp<\/strong><\/td>\n<td>Li\u00ean quan \u0111\u1ebfn vi\u1ec7c t\u1eadn d\u1ee5ng ki\u1ebfn th\u1ee9c t\u1eeb c\u00e1c m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc \u0111\u1ec3 c\u1ea3i thi\u1ec7n vi\u1ec7c h\u1ecdc t\u1eadp trong c\u00e1c l\u0129nh v\u1ef1c 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 ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc t\u1eadp v\u00e0i l\u1ea7n c\u00f3 nhi\u1ec1u h\u1ee9a h\u1eb9n v\u00ec n\u00f3 ti\u1ebfp t\u1ee5c khai ph\u00e1 ti\u1ec1m n\u0103ng c\u1ee7a AI v\u00e0 h\u1ecdc m\u00e1y trong nhi\u1ec1u l\u0129nh v\u1ef1c. M\u1ed9t s\u1ed1 l\u0129nh v\u1ef1c ph\u00e1t tri\u1ec3n ch\u00ednh bao g\u1ed3m:<\/p>\n<ul>\n<li>\n<p><strong>Thu\u1eadt to\u00e1n b\u1eafn \u00edt n\u00e2ng cao<\/strong>: Nh\u1eefng ti\u1ebfn b\u1ed9 trong k\u1ef9 thu\u1eadt si\u00eau h\u1ecdc t\u1eadp v\u00e0 c\u01a1 ch\u1ebf ch\u00fa \u00fd s\u1ebd cho ph\u00e9p th\u00edch \u1ee9ng t\u1ed1t h\u01a1n v\u1edbi c\u00e1c nhi\u1ec7m v\u1ee5 m\u1edbi.<\/p>\n<\/li>\n<li>\n<p><strong>Th\u00edch \u1ee9ng t\u00ean mi\u1ec1n<\/strong>: H\u1ecdc nhanh k\u1ebft h\u1ee3p v\u1edbi \u0111i\u1ec1u ch\u1ec9nh mi\u1ec1n s\u1ebd d\u1eabn \u0111\u1ebfn c\u00e1c m\u00f4 h\u00ecnh m\u1ea1nh m\u1ebd h\u01a1n c\u00f3 kh\u1ea3 n\u0103ng x\u1eed l\u00fd c\u00e1c ph\u00e2n ph\u1ed1i d\u1eef li\u1ec7u \u0111a d\u1ea1ng.<\/p>\n<\/li>\n<li>\n<p><strong>H\u1ecdc t\u1eadp t\u01b0\u01a1ng t\u00e1c<\/strong>: H\u1ec7 th\u1ed1ng h\u1ecdc t\u1eadp t\u01b0\u01a1ng t\u00e1c v\u00e0i l\u1ea7n c\u00f3 th\u1ec3 ch\u1ee7 \u0111\u1ed9ng t\u00ecm ki\u1ebfm ph\u1ea3n h\u1ed3i c\u1ee7a ng\u01b0\u1eddi d\u00f9ng \u0111\u1ec3 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t.<\/p>\n<\/li>\n<\/ul>\n<h2>M\u00e1y ch\u1ee7 proxy v\u00e0 vi\u1ec7c h\u1ecdc trong th\u1eddi gian ng\u1eafn<\/h2>\n<p>M\u1eb7c d\u00f9 b\u1ea3n th\u00e2n c\u00e1c m\u00e1y ch\u1ee7 proxy kh\u00f4ng li\u00ean quan tr\u1ef1c ti\u1ebfp \u0111\u1ebfn vi\u1ec7c h\u1ecdc v\u00e0i l\u1ea7n nh\u01b0ng ch\u00fang c\u00f3 th\u1ec3 \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c n\u00e2ng cao hi\u1ec7u su\u1ea5t v\u00e0 quy\u1ec1n ri\u00eang t\u01b0 c\u1ee7a h\u1ec7 th\u1ed1ng h\u1ecdc m\u00e1y. M\u00e1y ch\u1ee7 proxy \u0111\u00f3ng vai tr\u00f2 trung gian gi\u1eefa m\u00e1y kh\u00e1ch v\u00e0 internet, cung c\u1ea5p t\u00ednh \u1ea9n danh v\u00e0 b\u1ea3o m\u1eadt b\u1eb1ng c\u00e1ch \u1ea9n \u0111\u1ecba ch\u1ec9 IP c\u1ee7a ng\u01b0\u1eddi d\u00f9ng v\u00e0 b\u1ea3o v\u1ec7 th\u00f4ng tin nh\u1ea1y c\u1ea3m. Trong b\u1ed1i c\u1ea3nh h\u1ecdc t\u1eadp trong v\u00e0i l\u1ea7n, m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 thu th\u1eadp d\u1eef li\u1ec7u t\u1eeb nhi\u1ec1u ngu\u1ed3n kh\u00e1c nhau trong khi v\u1eabn b\u1ea3o v\u1ec7 quy\u1ec1n ri\u00eang t\u01b0 c\u1ee7a ng\u01b0\u1eddi d\u00f9ng v\u00e0 ng\u0103n ch\u1eb7n r\u00f2 r\u1ec9 d\u1eef li\u1ec7u.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<p>\u0110\u1ec3 bi\u1ebft th\u00eam th\u00f4ng tin v\u1ec1 c\u00e1ch h\u1ecdc v\u00e0i l\u1ea7n, vui l\u00f2ng tham kh\u1ea3o c\u00e1c t\u00e0i nguy\u00ean sau:<\/p>\n<ol>\n<li>\n<p><a href=\"https:\/\/towardsdatascience.com\/few-shot-learning-what-is-it-and-how-is-it-done-5b095d8e98b2\" target=\"_new\" rel=\"noopener nofollow\">H\u01b0\u1edbng t\u1edbi khoa h\u1ecdc d\u1eef li\u1ec7u - H\u1ecdc t\u1eadp trong v\u00e0i l\u1ea7n: N\u00f3 l\u00e0 g\u00ec v\u00e0 \u0111\u01b0\u1ee3c th\u1ef1c hi\u1ec7n nh\u01b0 th\u1ebf n\u00e0o?<\/a><\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/arxiv.org\/abs\/1904.05046\" target=\"_new\" rel=\"noopener nofollow\">Arxiv \u2013 M\u1ed9t kh\u1ea3o s\u00e1t to\u00e0n di\u1ec7n v\u1ec1 vi\u1ec7c h\u1ecdc trong th\u1eddi gian ng\u1eafn<\/a><\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/nips.cc\/\" target=\"_new\" rel=\"noopener nofollow\">NeurIPS 2021 \u2013 H\u1ed9i th\u1ea3o v\u1ec1 H\u1ec7 th\u1ed1ng x\u1eed l\u00fd th\u00f4ng tin th\u1ea7n kinh<\/a><\/p>\n<\/li>\n<\/ol>\n<p>T\u00f3m l\u1ea1i, ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc v\u00e0i l\u1ea7n th\u1ec3 hi\u1ec7n m\u1ed9t s\u1ef1 thay \u0111\u1ed5i m\u00f4 h\u00ecnh mang t\u00ednh \u0111\u1ed9t ph\u00e1 trong l\u0129nh v\u1ef1c h\u1ecdc m\u00e1y. Kh\u1ea3 n\u0103ng th\u00edch \u1ee9ng nhanh ch\u00f3ng v\u1edbi d\u1eef li\u1ec7u h\u1ea1n ch\u1ebf c\u1ee7a n\u00f3 m\u1edf ra nh\u1eefng kh\u1ea3 n\u0103ng m\u1edbi cho c\u00e1c \u1ee9ng d\u1ee5ng AI v\u00e0 nh\u1eefng ti\u1ebfn b\u1ed9 c\u00f4ng ngh\u1ec7 v\u00e0 nghi\u00ean c\u1ee9u \u0111ang di\u1ec5n ra ch\u1eafc ch\u1eafn s\u1ebd \u0111\u1ecbnh h\u00ecnh m\u1ed9t t\u01b0\u01a1ng lai n\u01a1i m\u00e1y m\u00f3c c\u00f3 th\u1ec3 h\u1ecdc hi\u1ec7u qu\u1ea3 v\u00e0 n\u0103ng su\u1ea5t h\u01a1n bao gi\u1edd h\u1ebft.<\/p>","protected":false},"featured_media":468393,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477206","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Few-shot learning: A Powerful Approach to Generalization in Machine Learning<\/mark>","faq_items":[{"question":"What is few-shot learning?","answer":"<p>Few-shot learning is an advanced approach in machine learning that allows models to learn new tasks and generalize to unseen data with only a small number of examples. Unlike traditional methods that require vast amounts of labeled data, few-shot learning leverages prior knowledge and learned representations for rapid adaptation.<\/p>"},{"question":"How did few-shot learning originate?","answer":"<p>The concept of few-shot learning was first mentioned in the work of Tom Mitchell in 1980. However, it gained practical significance with the advancements in deep learning and neural networks in the 21st century.<\/p>"},{"question":"How does few-shot learning work?","answer":"<p>Few-shot learning involves a base learner, which is a pre-trained model capturing essential features from general data. It also incorporates metric learning and meta-learning techniques to enable quick adaptation to new tasks.<\/p>"},{"question":"What are the key features of few-shot learning?","answer":"<p>Few-shot learning exhibits rapid adaptation, impressive generalization, and excels in scenarios with numerous classes but few examples per class. It also utilizes transfer learning from pre-trained models.<\/p>"},{"question":"What types of few-shot learning exist?","answer":"<p>Few-shot learning can be categorized into several types, including Prototypical Networks, Matching Networks, Siamese Networks, and Meta-learning (MAML).<\/p>"},{"question":"How can few-shot learning be used?","answer":"<p>Few-shot learning finds applications in object recognition, natural language processing, anomaly detection, and more. However, it faces challenges due to data scarcity and task complexity.<\/p>"},{"question":"What are the main characteristics and comparisons with related terms?","answer":"<p>Few-shot learning is compared to zero-shot learning and transfer learning. While few-shot learning adapts quickly with a few examples, zero-shot learning handles classes with zero examples based on semantic associations.<\/p>"},{"question":"What are the future perspectives and technologies related to few-shot learning?","answer":"<p>The future of few-shot learning includes enhanced algorithms, domain adaptation, and interactive learning systems that actively seek user feedback.<\/p>"},{"question":"How are proxy servers associated with few-shot learning?","answer":"<p>Proxy servers, while not directly related to few-shot learning, can enhance the performance and privacy of machine learning systems by collecting data from various sources while preserving user anonymity and preventing data leakage.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477206","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\/477206\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468393"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=477206"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}