{"id":477882,"date":"2023-08-09T09:22:01","date_gmt":"2023-08-09T09:22:01","guid":{"rendered":""},"modified":"2023-09-05T11:15:36","modified_gmt":"2023-09-05T11:15:36","slug":"long-short-term-memory-lstm","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/long-short-term-memory-lstm\/","title":{"rendered":"Tr\u00ed nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i (LSTM)"},"content":{"rendered":"<p>B\u1ed9 nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i (LSTM) l\u00e0 m\u1ed9t lo\u1ea1i ki\u1ebfn tr\u00fac m\u1ea1ng th\u1ea7n kinh t\u00e1i ph\u00e1t nh\u00e2n t\u1ea1o (RNN) \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 kh\u1eafc ph\u1ee5c nh\u1eefng h\u1ea1n ch\u1ebf c\u1ee7a RNN truy\u1ec1n th\u1ed1ng trong vi\u1ec7c n\u1eafm b\u1eaft c\u00e1c ph\u1ee5 thu\u1ed9c d\u00e0i h\u1ea1n trong d\u1eef li\u1ec7u tu\u1ea7n t\u1ef1. LSTM \u0111\u01b0\u1ee3c gi\u1edbi thi\u1ec7u \u0111\u1ec3 gi\u1ea3i quy\u1ebft c\u00e1c v\u1ea5n \u0111\u1ec1 v\u1ec1 \u0111\u1ed9 d\u1ed1c bi\u1ebfn m\u1ea5t v\u00e0 b\u00f9ng n\u1ed5 g\u00e2y c\u1ea3n tr\u1edf vi\u1ec7c \u0111\u00e0o t\u1ea1o RNN khi x\u1eed l\u00fd c\u00e1c chu\u1ed7i d\u00e0i. N\u00f3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i trong nhi\u1ec1u l\u0129nh v\u1ef1c kh\u00e1c nhau, bao g\u1ed3m x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean, nh\u1eadn d\u1ea1ng gi\u1ecdng n\u00f3i, d\u1ef1 \u0111o\u00e1n chu\u1ed7i th\u1eddi gian, v.v.<\/p>\n<h2>L\u1ecbch s\u1eed v\u1ec1 ngu\u1ed3n g\u1ed1c c\u1ee7a Tr\u00ed nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i (LSTM) v\u00e0 l\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u1ec1 c\u1eadp \u0111\u1ebfn n\u00f3<\/h2>\n<p>Ki\u1ebfn tr\u00fac LSTM l\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u01b0\u1ee3c \u0111\u1ec1 xu\u1ea5t b\u1edfi Sepp Hochreiter v\u00e0 J\u00fcrgen Schmidhuber v\u00e0o n\u0103m 1997. B\u00e0i b\u00e1o c\u1ee7a h\u1ecd c\u00f3 t\u1ef1a \u0111\u1ec1 \u201cB\u1ed9 nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i\u201d \u0111\u00e3 gi\u1edbi thi\u1ec7u kh\u00e1i ni\u1ec7m v\u1ec1 \u0111\u01a1n v\u1ecb LSTM nh\u01b0 m\u1ed9t gi\u1ea3i ph\u00e1p cho c\u00e1c v\u1ea5n \u0111\u1ec1 m\u00e0 RNN truy\u1ec1n th\u1ed1ng g\u1eb7p ph\u1ea3i. H\u1ecd \u0111\u00e3 ch\u1ee9ng minh r\u1eb1ng c\u00e1c \u0111\u01a1n v\u1ecb LSTM c\u00f3 th\u1ec3 h\u1ecdc h\u1ecfi v\u00e0 duy tr\u00ec s\u1ef1 ph\u1ee5 thu\u1ed9c l\u00e2u d\u00e0i theo tr\u00ecnh t\u1ef1 m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3, khi\u1ebfn ch\u00fang r\u1ea5t ph\u00f9 h\u1ee3p cho c\u00e1c nhi\u1ec7m v\u1ee5 li\u00ean quan \u0111\u1ebfn c\u00e1c m\u00f4 h\u00ecnh th\u1eddi gian ph\u1ee9c t\u1ea1p.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 B\u1ed9 nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i (LSTM)<\/h2>\n<p>LSTM l\u00e0 ph\u1ea7n m\u1edf r\u1ed9ng c\u1ee7a m\u00f4 h\u00ecnh RNN c\u01a1 b\u1ea3n, v\u1edbi c\u1ea5u tr\u00fac b\u00ean trong ph\u1ee9c t\u1ea1p h\u01a1n cho ph\u00e9p n\u00f3 l\u01b0u gi\u1eef ho\u1eb7c qu\u00ean th\u00f4ng tin c\u00f3 ch\u1ecdn l\u1ecdc trong th\u1eddi gian d\u00e0i. \u00dd t\u01b0\u1edfng c\u1ed1t l\u00f5i \u0111\u1eb1ng sau LSTM l\u00e0 vi\u1ec7c s\u1eed d\u1ee5ng c\u00e1c \u00f4 nh\u1edb, l\u00e0 \u0111\u01a1n v\u1ecb ch\u1ecbu tr\u00e1ch nhi\u1ec7m l\u01b0u tr\u1eef v\u00e0 c\u1eadp nh\u1eadt th\u00f4ng tin theo th\u1eddi gian. C\u00e1c \u00f4 nh\u1edb n\u00e0y \u0111\u01b0\u1ee3c \u0111i\u1ec1u khi\u1ec3n b\u1edfi ba th\u00e0nh ph\u1ea7n ch\u00ednh: c\u1ed5ng \u0111\u1ea7u v\u00e0o, c\u1ed5ng qu\u00ean v\u00e0 c\u1ed5ng \u0111\u1ea7u ra.<\/p>\n<h3>B\u1ed9 nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i (LSTM) ho\u1ea1t \u0111\u1ed9ng nh\u01b0 th\u1ebf n\u00e0o<\/h3>\n<ol>\n<li>\n<p><strong>C\u1ed5ng v\u00e0o:<\/strong> C\u1ed5ng \u0111\u1ea7u v\u00e0o ki\u1ec3m so\u00e1t l\u01b0\u1ee3ng th\u00f4ng tin m\u1edbi \u0111\u01b0\u1ee3c th\u00eam v\u00e0o \u00f4 nh\u1edb. N\u00f3 l\u1ea5y \u0111\u1ea7u v\u00e0o t\u1eeb b\u01b0\u1edbc th\u1eddi gian hi\u1ec7n t\u1ea1i v\u00e0 quy\u1ebft \u0111\u1ecbnh ph\u1ea7n n\u00e0o c\u1ee7a n\u00f3 c\u00f3 li\u00ean quan s\u1ebd \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef trong b\u1ed9 nh\u1edb.<\/p>\n<\/li>\n<li>\n<p><strong>Qu\u00ean c\u1ed5ng:<\/strong> C\u1ed5ng qu\u00ean x\u00e1c \u0111\u1ecbnh th\u00f4ng tin n\u00e0o c\u1ea7n \u0111\u01b0\u1ee3c lo\u1ea1i b\u1ecf kh\u1ecfi \u00f4 nh\u1edb. N\u00f3 l\u1ea5y \u0111\u1ea7u v\u00e0o t\u1eeb b\u01b0\u1edbc th\u1eddi gian tr\u01b0\u1edbc \u0111\u00f3 v\u00e0 b\u01b0\u1edbc th\u1eddi gian hi\u1ec7n t\u1ea1i r\u1ed3i quy\u1ebft \u0111\u1ecbnh ph\u1ea7n n\u00e0o c\u1ee7a b\u1ed9 nh\u1edb tr\u01b0\u1edbc \u0111\u00f3 kh\u00f4ng c\u00f2n ph\u00f9 h\u1ee3p.<\/p>\n<\/li>\n<li>\n<p><strong>C\u1ed5ng \u0111\u1ea7u ra:<\/strong> C\u1ed5ng \u0111\u1ea7u ra \u0111i\u1ec1u ch\u1ec9nh l\u01b0\u1ee3ng th\u00f4ng tin \u0111\u01b0\u1ee3c tr\u00edch xu\u1ea5t t\u1eeb \u00f4 nh\u1edb v\u00e0 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng l\u00e0m \u0111\u1ea7u ra c\u1ee7a \u0111\u01a1n v\u1ecb LSTM.<\/p>\n<\/li>\n<\/ol>\n<p>Kh\u1ea3 n\u0103ng \u0111i\u1ec1u ch\u1ec9nh lu\u1ed3ng th\u00f4ng tin qua c\u00e1c c\u1ed5ng n\u00e0y cho ph\u00e9p LSTM duy tr\u00ec s\u1ef1 ph\u1ee5 thu\u1ed9c l\u00e2u d\u00e0i v\u00e0 kh\u1eafc ph\u1ee5c c\u00e1c v\u1ea5n \u0111\u1ec1 v\u1ec1 \u0111\u1ed9 d\u1ed1c bi\u1ebfn m\u1ea5t v\u00e0 b\u00f9ng n\u1ed5 m\u00e0 RNN truy\u1ec1n th\u1ed1ng g\u1eb7p ph\u1ea3i.<\/p>\n<h2>Ph\u00e2n t\u00edch c\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a Tr\u00ed nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i (LSTM)<\/h2>\n<p>LSTM s\u1edf h\u1eefu m\u1ed9t s\u1ed1 t\u00ednh n\u0103ng ch\u00ednh gi\u00fap n\u00f3 tr\u1edf th\u00e0nh m\u1ed9t c\u00f4ng c\u1ee5 hi\u1ec7u qu\u1ea3 \u0111\u1ec3 x\u1eed l\u00fd d\u1eef li\u1ec7u tu\u1ea7n t\u1ef1:<\/p>\n<ul>\n<li>\n<p><strong>S\u1ef1 ph\u1ee5 thu\u1ed9c d\u00e0i h\u1ea1n:<\/strong> LSTM c\u00f3 th\u1ec3 n\u1eafm b\u1eaft v\u00e0 ghi nh\u1edb th\u00f4ng tin t\u1eeb c\u00e1c b\u01b0\u1edbc th\u1eddi gian xa x\u00f4i trong qu\u00e1 kh\u1ee9, khi\u1ebfn th\u00f4ng tin n\u00e0y r\u1ea5t ph\u00f9 h\u1ee3p cho c\u00e1c nhi\u1ec7m v\u1ee5 c\u00f3 s\u1ef1 ph\u1ee5 thu\u1ed9c t\u1ea7m xa.<\/p>\n<\/li>\n<li>\n<p><strong>Tr\u00e1nh c\u00e1c v\u1ea5n \u0111\u1ec1 v\u1ec1 \u0111\u1ed9 d\u1ed1c:<\/strong> Ki\u1ebfn tr\u00fac c\u1ee7a LSTM gi\u00fap gi\u1ea3m thi\u1ec3u c\u00e1c v\u1ea5n \u0111\u1ec1 v\u1ec1 \u0111\u1ed9 d\u1ed1c bi\u1ebfn m\u1ea5t v\u00e0 b\u00f9ng n\u1ed5, \u0111\u1ea3m b\u1ea3o qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o \u1ed5n \u0111\u1ecbnh v\u00e0 hi\u1ec7u qu\u1ea3 h\u01a1n.<\/p>\n<\/li>\n<li>\n<p><strong>B\u1ed9 nh\u1edb c\u00f3 ch\u1ecdn l\u1ecdc:<\/strong> C\u00e1c \u0111\u01a1n v\u1ecb LSTM c\u00f3 th\u1ec3 l\u01b0u tr\u1eef v\u00e0 qu\u00ean th\u00f4ng tin m\u1ed9t c\u00e1ch c\u00f3 ch\u1ecdn l\u1ecdc, cho ph\u00e9p ch\u00fang t\u1eadp trung v\u00e0o c\u00e1c kh\u00eda c\u1ea1nh ph\u00f9 h\u1ee3p nh\u1ea5t c\u1ee7a chu\u1ed7i \u0111\u1ea7u v\u00e0o.<\/p>\n<\/li>\n<li>\n<p><strong>T\u00ednh linh ho\u1ea1t:<\/strong> LSTM c\u00f3 th\u1ec3 x\u1eed l\u00fd c\u00e1c chu\u1ed7i c\u00f3 \u0111\u1ed9 d\u00e0i kh\u00e1c nhau, gi\u00fap n\u00f3 c\u00f3 th\u1ec3 th\u00edch \u1ee9ng v\u1edbi nhi\u1ec1u \u1ee9ng d\u1ee5ng trong th\u1ebf gi\u1edbi th\u1ef1c kh\u00e1c nhau.<\/p>\n<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i tr\u00ed nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i (LSTM)<\/h2>\n<p>LSTM \u0111\u00e3 ph\u00e1t tri\u1ec3n theo th\u1eddi gian, d\u1eabn \u0111\u1ebfn s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a c\u00e1c bi\u1ebfn th\u1ec3 v\u00e0 ph\u1ea7n m\u1edf r\u1ed9ng kh\u00e1c nhau. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 m\u1ed9t s\u1ed1 lo\u1ea1i LSTM \u0111\u00e1ng ch\u00fa \u00fd:<\/p>\n<ol>\n<li>\n<p><strong>LSTM Vani:<\/strong> Ki\u1ebfn tr\u00fac LSTM ti\u00eau chu\u1ea9n \u0111\u01b0\u1ee3c m\u00f4 t\u1ea3 tr\u01b0\u1edbc \u0111\u00f3.<\/p>\n<\/li>\n<li>\n<p><strong>\u0110\u01a1n v\u1ecb \u0111\u1ecbnh k\u1ef3 c\u00f3 ki\u1ec3m so\u00e1t (GRU):<\/strong> M\u1ed9t phi\u00ean b\u1ea3n \u0111\u01a1n gi\u1ea3n c\u1ee7a LSTM ch\u1ec9 c\u00f3 hai c\u1ed5ng (c\u1ed5ng reset v\u00e0 c\u1ed5ng c\u1eadp nh\u1eadt).<\/p>\n<\/li>\n<li>\n<p><strong>L\u1ed7 nh\u00ecn tr\u1ed9m LSTM:<\/strong> M\u1ed9t ph\u1ea7n m\u1edf r\u1ed9ng c\u1ee7a LSTM cho ph\u00e9p c\u00e1c c\u1ed5ng truy c\u1eadp tr\u1ef1c ti\u1ebfp v\u00e0o tr\u1ea1ng th\u00e1i \u00f4.<\/p>\n<\/li>\n<li>\n<p><strong>LSTM v\u1edbi s\u1ef1 ch\u00fa \u00fd:<\/strong> K\u1ebft h\u1ee3p LSTM v\u1edbi c\u01a1 ch\u1ebf ch\u00fa \u00fd \u0111\u1ec3 t\u1eadp trung v\u00e0o c\u00e1c ph\u1ea7n c\u1ee5 th\u1ec3 c\u1ee7a chu\u1ed7i \u0111\u1ea7u v\u00e0o.<\/p>\n<\/li>\n<li>\n<p><strong>LSTM hai chi\u1ec1u:<\/strong> Bi\u1ebfn th\u1ec3 LSTM x\u1eed l\u00fd chu\u1ed7i \u0111\u1ea7u v\u00e0o theo c\u1ea3 h\u01b0\u1edbng ti\u1ebfn v\u00e0 l\u00f9i.<\/p>\n<\/li>\n<li>\n<p><strong>LSTM x\u1ebfp ch\u1ed3ng:<\/strong> S\u1eed d\u1ee5ng nhi\u1ec1u l\u1edbp \u0111\u01a1n v\u1ecb LSTM \u0111\u1ec3 n\u1eafm b\u1eaft c\u00e1c m\u1eabu ph\u1ee9c t\u1ea1p h\u01a1n trong d\u1eef li\u1ec7u.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1c c\u00e1ch s\u1eed d\u1ee5ng Tr\u00ed nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i (LSTM), c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p li\u00ean quan \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng<\/h2>\n<p>LSTM t\u00ecm th\u1ea5y c\u00e1c \u1ee9ng d\u1ee5ng trong nhi\u1ec1u l\u0129nh v\u1ef1c kh\u00e1c nhau, bao g\u1ed3m:<\/p>\n<ol>\n<li>\n<p><strong>X\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean:<\/strong> LSTM \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 t\u1ea1o v\u0103n b\u1ea3n, ph\u00e2n t\u00edch c\u1ea3m x\u00fac, d\u1ecbch m\u00e1y v\u00e0 m\u00f4 h\u00ecnh h\u00f3a ng\u00f4n ng\u1eef.<\/p>\n<\/li>\n<li>\n<p><strong>Nh\u1eadn d\u1ea1ng gi\u1ecdng n\u00f3i:<\/strong> LSTM gi\u00fap chuy\u1ec3n \u0111\u1ed5i gi\u1ecdng n\u00f3i th\u00e0nh v\u0103n b\u1ea3n v\u00e0 tr\u1ee3 l\u00fd gi\u1ecdng n\u00f3i.<\/p>\n<\/li>\n<li>\n<p><strong>D\u1ef1 \u0111o\u00e1n chu\u1ed7i th\u1eddi gian:<\/strong> LSTM \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 d\u1ef1 b\u00e1o th\u1ecb tr\u01b0\u1eddng ch\u1ee9ng kho\u00e1n, d\u1ef1 b\u00e1o th\u1eddi ti\u1ebft v\u00e0 d\u1ef1 b\u00e1o ph\u1ee5 t\u1ea3i n\u0103ng l\u01b0\u1ee3ng.<\/p>\n<\/li>\n<li>\n<p><strong>C\u00f4ng nh\u1eadn c\u1eed ch\u1ec9:<\/strong> LSTM c\u00f3 th\u1ec3 nh\u1eadn d\u1ea1ng c\u00e1c m\u1eabu trong t\u01b0\u01a1ng t\u00e1c d\u1ef1a tr\u00ean c\u1eed ch\u1ec9.<\/p>\n<\/li>\n<\/ol>\n<p>Tuy nhi\u00ean, LSTM c\u0169ng c\u00f3 nh\u1eefng th\u00e1ch th\u1ee9c, ch\u1eb3ng h\u1ea1n nh\u01b0:<\/p>\n<ul>\n<li>\n<p><strong>\u0110\u1ed9 ph\u1ee9c t\u1ea1p t\u00ednh to\u00e1n:<\/strong> Vi\u1ec7c \u0111\u00e0o t\u1ea1o c\u00e1c m\u00f4 h\u00ecnh LSTM c\u00f3 th\u1ec3 \u0111\u00f2i h\u1ecfi t\u00ednh to\u00e1n chuy\u00ean s\u00e2u, \u0111\u1eb7c bi\u1ec7t l\u00e0 v\u1edbi c\u00e1c b\u1ed9 d\u1eef li\u1ec7u l\u1edbn.<\/p>\n<\/li>\n<li>\n<p><strong>Trang b\u1ecb qu\u00e1 m\u1ee9c:<\/strong> C\u00e1c m\u00f4 h\u00ecnh LSTM c\u00f3 xu h\u01b0\u1edbng b\u1ecb trang b\u1ecb qu\u00e1 m\u1ee9c, \u0111i\u1ec1u n\u00e0y c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c gi\u1ea3m thi\u1ec3u b\u1eb1ng c\u00e1c k\u1ef9 thu\u1eadt ch\u00ednh quy h\u00f3a v\u00e0 nhi\u1ec1u d\u1eef li\u1ec7u h\u01a1n.<\/p>\n<\/li>\n<li>\n<p><strong>Th\u1eddi gian \u0111\u00e0o t\u1ea1o d\u00e0i:<\/strong> \u0110\u00e0o t\u1ea1o LSTM c\u00f3 th\u1ec3 y\u00eau c\u1ea7u m\u1ed9t l\u01b0\u1ee3ng th\u1eddi gian v\u00e0 ngu\u1ed3n l\u1ef1c \u0111\u00e1ng k\u1ec3, \u0111\u1eb7c bi\u1ec7t \u0111\u1ed1i v\u1edbi c\u00e1c ki\u1ebfn tr\u00fac s\u00e2u v\u00e0 ph\u1ee9c t\u1ea1p.<\/p>\n<\/li>\n<\/ul>\n<p>\u0110\u1ec3 v\u01b0\u1ee3t qua nh\u1eefng th\u00e1ch th\u1ee9c n\u00e0y, c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u v\u00e0 h\u1ecdc vi\u00ean \u0111\u00e3 n\u1ed7 l\u1ef1c c\u1ea3i ti\u1ebfn c\u00e1c thu\u1eadt to\u00e1n t\u1ed1i \u01b0u h\u00f3a, ph\u00e1t tri\u1ec3n c\u00e1c ki\u1ebfn tr\u00fac hi\u1ec7u qu\u1ea3 h\u01a1n v\u00e0 kh\u00e1m ph\u00e1 c\u00e1c k\u1ef9 thu\u1eadt h\u1ecdc chuy\u1ec3n giao.<\/p>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 so s\u00e1nh kh\u00e1c v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1 d\u01b0\u1edbi d\u1ea1ng b\u1ea3ng v\u00e0 danh s\u00e1ch<\/h2>\n<p>\u0110\u00e2y l\u00e0 so s\u00e1nh gi\u1eefa LSTM v\u00e0 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<th>S\u1ef1 kh\u00e1c bi\u1ec7t ch\u00ednh<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>RNN (M\u1ea1ng th\u1ea7n kinh t\u00e1i ph\u00e1t)<\/td>\n<td>M\u1ed9t lo\u1ea1i m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 x\u1eed l\u00fd d\u1eef li\u1ec7u tu\u1ea7n t\u1ef1<\/td>\n<td>Thi\u1ebfu kh\u1ea3 n\u0103ng x\u1eed l\u00fd c\u00e1c ph\u1ee5 thu\u1ed9c d\u00e0i h\u1ea1n c\u1ee7a LSTM<\/td>\n<\/tr>\n<tr>\n<td>GRU (\u0110\u01a1n v\u1ecb \u0111\u1ecbnh k\u1ef3 c\u00f3 c\u1ed5ng)<\/td>\n<td>M\u1ed9t phi\u00ean b\u1ea3n \u0111\u01a1n gi\u1ea3n c\u1ee7a LSTM v\u1edbi \u00edt c\u1ed5ng h\u01a1n<\/td>\n<td>\u00cdt c\u1ed5ng h\u01a1n, ki\u1ebfn tr\u00fac \u0111\u01a1n gi\u1ea3n h\u01a1n<\/td>\n<\/tr>\n<tr>\n<td>M\u00e1y bi\u1ebfn \u00e1p<\/td>\n<td>Ki\u1ebfn tr\u00fac m\u00f4 h\u00ecnh tu\u1ea7n t\u1ef1<\/td>\n<td>Kh\u00f4ng t\u00e1i ph\u00e1t, c\u00f3 c\u01a1 ch\u1ebf t\u1ef1 ch\u00fa \u00fd<\/td>\n<\/tr>\n<tr>\n<td>LSTM v\u1edbi s\u1ef1 ch\u00fa \u00fd<\/td>\n<td>LSTM k\u1ebft h\u1ee3p v\u1edbi c\u01a1 ch\u1ebf ch\u00fa \u00fd<\/td>\n<td>T\u0103ng c\u01b0\u1eddng t\u1eadp trung v\u00e0o c\u00e1c ph\u1ea7n c\u00f3 li\u00ean quan c\u1ee7a chu\u1ed7i \u0111\u1ea7u v\u00e0o<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn Tr\u00ed nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i (LSTM)<\/h2>\n<p>T\u01b0\u01a1ng lai c\u1ee7a LSTM v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng c\u1ee7a n\u00f3 \u0111\u1ea7y h\u1ee9a h\u1eb9n. Khi c\u00f4ng ngh\u1ec7 ti\u1ebfn b\u1ed9, ch\u00fang ta c\u00f3 th\u1ec3 mong \u0111\u1ee3i nh\u1eefng c\u1ea3i ti\u1ebfn trong c\u00e1c l\u0129nh v\u1ef1c sau:<\/p>\n<ol>\n<li>\n<p><strong>Hi\u1ec7u qu\u1ea3:<\/strong> Nghi\u00ean c\u1ee9u \u0111ang di\u1ec5n ra s\u1ebd t\u1eadp trung v\u00e0o vi\u1ec7c t\u1ed1i \u01b0u h\u00f3a ki\u1ebfn tr\u00fac LSTM \u0111\u1ec3 gi\u1ea3m y\u00eau c\u1ea7u t\u00ednh to\u00e1n v\u00e0 th\u1eddi gian \u0111\u00e0o t\u1ea1o.<\/p>\n<\/li>\n<li>\n<p><strong>Chuy\u1ec3n ti\u1ebfp h\u1ecdc t\u1eadp:<\/strong> T\u1eadn d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh LSTM \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc cho c\u00e1c nhi\u1ec7m v\u1ee5 c\u1ee5 th\u1ec3 \u0111\u1ec3 n\u00e2ng cao hi\u1ec7u qu\u1ea3 v\u00e0 t\u00ednh t\u1ed5ng qu\u00e1t.<\/p>\n<\/li>\n<li>\n<p><strong>\u1ee8ng d\u1ee5ng li\u00ean ng\u00e0nh:<\/strong> LSTM s\u1ebd ti\u1ebfp t\u1ee5c \u0111\u01b0\u1ee3c \u00e1p d\u1ee5ng trong nhi\u1ec1u l\u0129nh v\u1ef1c kh\u00e1c nhau, ch\u1eb3ng h\u1ea1n nh\u01b0 ch\u0103m s\u00f3c s\u1ee9c kh\u1ecfe, t\u00e0i ch\u00ednh v\u00e0 h\u1ec7 th\u1ed1ng t\u1ef1 tr\u1ecb.<\/p>\n<\/li>\n<li>\n<p><strong>Ki\u1ebfn tr\u00fac lai:<\/strong> K\u1ebft h\u1ee3p LSTM v\u1edbi c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u kh\u00e1c \u0111\u1ec3 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t v\u00e0 tr\u00edch xu\u1ea5t t\u00ednh n\u0103ng.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi B\u1ed9 nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i (LSTM)<\/h2>\n<p>M\u00e1y ch\u1ee7 proxy \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c qu\u00e9t web, thu th\u1eadp d\u1eef li\u1ec7u v\u00e0 x\u1eed l\u00fd c\u00e1c lu\u1ed3ng d\u1eef li\u1ec7u quy m\u00f4 l\u1edbn. Khi \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng c\u00f9ng v\u1edbi LSTM, m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 gi\u00fap n\u00e2ng cao hi\u1ec7u su\u1ea5t c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh d\u1ef1a tr\u00ean LSTM theo m\u1ed9t s\u1ed1 c\u00e1ch:<\/p>\n<ol>\n<li>\n<p><strong>Thu th\u1eadp d\u1eef li\u1ec7u:<\/strong> M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 ph\u00e2n ph\u1ed1i c\u00e1c t\u00e1c v\u1ee5 thu th\u1eadp d\u1eef li\u1ec7u tr\u00ean nhi\u1ec1u \u0111\u1ecba ch\u1ec9 IP, ng\u0103n ch\u1eb7n gi\u1edbi h\u1ea1n t\u1ed1c \u0111\u1ed9 v\u00e0 \u0111\u1ea3m b\u1ea3o lu\u1ed3ng d\u1eef li\u1ec7u \u1ed5n \u0111\u1ecbnh cho ho\u1ea1t \u0111\u1ed9ng \u0111\u00e0o t\u1ea1o LSTM.<\/p>\n<\/li>\n<li>\n<p><strong>Quy\u1ec1n ri\u00eang t\u01b0 v\u00e0 b\u1ea3o m\u1eadt:<\/strong> M\u00e1y ch\u1ee7 proxy cung c\u1ea5p th\u00eam m\u1ed9t l\u1edbp \u1ea9n danh, b\u1ea3o v\u1ec7 d\u1eef li\u1ec7u nh\u1ea1y c\u1ea3m v\u00e0 \u0111\u1ea3m b\u1ea3o k\u1ebft n\u1ed1i an to\u00e0n cho c\u00e1c \u1ee9ng d\u1ee5ng d\u1ef1a tr\u00ean LSTM.<\/p>\n<\/li>\n<li>\n<p><strong>C\u00e2n b\u1eb1ng t\u1ea3i:<\/strong> M\u00e1y ch\u1ee7 proxy gi\u00fap ph\u00e2n ph\u1ed1i t\u1ea3i t\u00ednh to\u00e1n khi x\u1eed l\u00fd nhi\u1ec1u y\u00eau c\u1ea7u, t\u1ed1i \u01b0u h\u00f3a hi\u1ec7u su\u1ea5t LSTM.<\/p>\n<\/li>\n<li>\n<p><strong>Ph\u00e2n t\u00edch d\u1ef1a tr\u00ean v\u1ecb tr\u00ed:<\/strong> Vi\u1ec7c s\u1eed d\u1ee5ng proxy t\u1eeb c\u00e1c v\u1ecb tr\u00ed \u0111\u1ecba l\u00fd kh\u00e1c nhau c\u00f3 th\u1ec3 cho ph\u00e9p c\u00e1c m\u00f4 h\u00ecnh LSTM n\u1eafm b\u1eaft c\u00e1c m\u00f4 h\u00ecnh v\u00e0 h\u00e0nh vi c\u1ee5 th\u1ec3 theo v\u00f9ng.<\/p>\n<\/li>\n<\/ol>\n<p>B\u1eb1ng c\u00e1ch t\u00edch h\u1ee3p m\u00e1y ch\u1ee7 proxy v\u1edbi c\u00e1c \u1ee9ng d\u1ee5ng LSTM, ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 t\u1ed1i \u01b0u h\u00f3a vi\u1ec7c thu th\u1eadp d\u1eef li\u1ec7u, t\u0103ng c\u01b0\u1eddng b\u1ea3o m\u1eadt v\u00e0 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t t\u1ed5ng th\u1ec3.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<p>\u0110\u1ec3 bi\u1ebft th\u00eam th\u00f4ng tin v\u1ec1 Tr\u00ed nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i (LSTM), b\u1ea1n c\u00f3 th\u1ec3 tham kh\u1ea3o c\u00e1c t\u00e0i nguy\u00ean sau:<\/p>\n<ol>\n<li><a href=\"https:\/\/www.bioinf.jku.at\/publications\/older\/2604.pdf\" target=\"_new\" rel=\"noopener nofollow\">Gi\u1ea5y LSTM g\u1ed1c c\u1ee7a Hochreiter v\u00e0 Schmidhuber<\/a><\/li>\n<li><a href=\"https:\/\/colah.github.io\/posts\/2015-08-Understanding-LSTMs\/\" target=\"_new\" rel=\"noopener nofollow\">T\u00ecm hi\u1ec3u m\u1ea1ng LSTM \u2013 Blog c\u1ee7a Colah<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Long_short-term_memory\" target=\"_new\" rel=\"noopener nofollow\">Tr\u00ed nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i (LSTM) - Wikipedia<\/a><\/li>\n<\/ol>\n<p>T\u00f3m l\u1ea1i, B\u1ed9 nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i (LSTM) \u0111\u00e3 c\u00e1ch m\u1ea1ng h\u00f3a l\u0129nh v\u1ef1c m\u00f4 h\u00ecnh h\u00f3a v\u00e0 ph\u00e2n t\u00edch tr\u00ecnh t\u1ef1. Kh\u1ea3 n\u0103ng x\u1eed l\u00fd c\u00e1c ph\u1ee5 thu\u1ed9c l\u00e2u d\u00e0i v\u00e0 tr\u00e1nh c\u00e1c v\u1ea5n \u0111\u1ec1 v\u1ec1 \u0111\u1ed9 d\u1ed1c \u0111\u00e3 khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh l\u1ef1a ch\u1ecdn ph\u1ed5 bi\u1ebfn cho c\u00e1c \u1ee9ng d\u1ee5ng kh\u00e1c nhau. Khi c\u00f4ng ngh\u1ec7 ti\u1ebfp t\u1ee5c ph\u00e1t tri\u1ec3n, LSTM d\u1ef1 ki\u1ebfn s\u1ebd \u0111\u00f3ng m\u1ed9t vai tr\u00f2 ng\u00e0y c\u00e0ng quan tr\u1ecdng trong vi\u1ec7c \u0111\u1ecbnh h\u00ecnh t\u01b0\u01a1ng lai c\u1ee7a tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 vi\u1ec7c ra quy\u1ebft \u0111\u1ecbnh d\u1ef1a tr\u00ean d\u1eef li\u1ec7u.<\/p>","protected":false},"featured_media":468808,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477882","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Long Short-Term Memory (LSTM)<\/mark>","faq_items":[{"question":"What is Long Short-Term Memory (LSTM)?","answer":"<p>Long Short-Term Memory (LSTM) is a type of artificial recurrent neural network (RNN) designed to overcome the limitations of traditional RNNs in capturing long-term dependencies in sequential data. It can effectively learn and retain information from distant past time steps, making it ideal for tasks involving complex temporal patterns.<\/p>"},{"question":"Who developed LSTM and when was it first introduced?","answer":"<p>LSTM was first proposed by Sepp Hochreiter and J\u00fcrgen Schmidhuber in 1997. Their paper titled \"Long Short-Term Memory\" introduced the concept of LSTM units as a solution to the vanishing and exploding gradient problems faced by traditional RNNs.<\/p>"},{"question":"How does Long Short-Term Memory (LSTM) work?","answer":"<p>LSTM consists of memory cells with input, forget, and output gates. The input gate controls new information's addition to the memory cell, the forget gate decides what information to discard, and the output gate regulates the information extracted from the memory. This selective memory mechanism allows LSTM to capture and remember long-term dependencies.<\/p>"},{"question":"What are the key features of Long Short-Term Memory (LSTM)?","answer":"<p>The key features of LSTM include its ability to handle long-term dependencies, overcome gradient problems, selectively retain or forget information, and adapt to sequences of varying lengths.<\/p>"},{"question":"What types of Long Short-Term Memory (LSTM) exist?","answer":"<p>Various types of LSTM include Vanilla LSTM, Gated Recurrent Unit (GRU), Peephole LSTM, LSTM with Attention, Bidirectional LSTM, and Stacked LSTM. Each type has specific characteristics and applications.<\/p>"},{"question":"How can Long Short-Term Memory (LSTM) be used?","answer":"<p>LSTM finds applications in natural language processing, speech recognition, time series prediction, gesture recognition, and more. It is used for text generation, sentiment analysis, weather prediction, and stock market forecasting, among other tasks.<\/p>"},{"question":"What are the challenges related to LSTM usage, and how can they be addressed?","answer":"<p>Challenges include computational complexity, overfitting, and long training times. These issues can be mitigated through optimization algorithms, regularization techniques, and using transfer learning.<\/p>"},{"question":"How does Long Short-Term Memory (LSTM) compare to other related terms?","answer":"<p>LSTM differs from basic RNNs by its ability to capture long-term dependencies. It is more complex than Gated Recurrent Units (GRU) and lacks the self-attention mechanism of Transformers.<\/p>"},{"question":"What are the future perspectives of Long Short-Term Memory (LSTM)?","answer":"<p>The future of LSTM looks promising, with ongoing research focusing on efficiency, transfer learning, interdisciplinary applications, and hybrid architectures.<\/p>"},{"question":"How can proxy servers be associated with Long Short-Term Memory (LSTM)?","answer":"<p>Proxy servers can enhance LSTM performance by enabling efficient data collection, providing privacy and security, load balancing, and facilitating location-based analysis.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477882","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\/477882\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468808"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=477882"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}