{"id":479384,"date":"2023-08-09T10:35:54","date_gmt":"2023-08-09T10:35:54","guid":{"rendered":""},"modified":"2023-09-05T11:18:41","modified_gmt":"2023-09-05T11:18:41","slug":"transfer-learning","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/transfer-learning\/","title":{"rendered":"Chuy\u1ec3n ti\u1ebfp h\u1ecdc t\u1eadp"},"content":{"rendered":"<p>Th\u00f4ng tin t\u00f3m t\u1eaft v\u1ec1 Transfer Learning<\/p>\n<p>H\u1ecdc chuy\u1ec3n giao l\u00e0 m\u1ed9t v\u1ea5n \u0111\u1ec1 nghi\u00ean c\u1ee9u trong h\u1ecdc m\u00e1y (ML), trong \u0111\u00f3 ki\u1ebfn th\u1ee9c thu \u0111\u01b0\u1ee3c trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o v\u1ec1 m\u1ed9t nhi\u1ec7m v\u1ee5 \u0111\u01b0\u1ee3c \u00e1p d\u1ee5ng cho m\u1ed9t v\u1ea5n \u0111\u1ec1 kh\u00e1c nh\u01b0ng c\u00f3 li\u00ean quan. V\u1ec1 c\u01a1 b\u1ea3n, h\u1ecdc chuy\u1ec3n giao cho ph\u00e9p \u0111i\u1ec1u ch\u1ec9nh m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc cho m\u1ed9t v\u1ea5n \u0111\u1ec1 m\u1edbi, gi\u1ea3m \u0111\u00e1ng k\u1ec3 th\u1eddi gian v\u00e0 t\u00e0i nguy\u00ean t\u00ednh to\u00e1n. N\u00f3 gi\u00fap c\u1ea3i thi\u1ec7n hi\u1ec7u qu\u1ea3 h\u1ecdc t\u1eadp v\u00e0 c\u00f3 th\u1ec3 \u0111\u1eb7c bi\u1ec7t h\u1eefu \u00edch trong c\u00e1c t\u00ecnh hu\u1ed1ng m\u00e0 d\u1eef li\u1ec7u khan hi\u1ebfm ho\u1eb7c t\u1ed1n k\u00e9m \u0111\u1ec3 c\u00f3 \u0111\u01b0\u1ee3c.<\/p>\n<h2>L\u1ecbch s\u1eed ngu\u1ed3n g\u1ed1c c\u1ee7a h\u1ecdc t\u1eadp chuy\u1ec3n ti\u1ebfp v\u00e0 s\u1ef1 \u0111\u1ec1 c\u1eadp \u0111\u1ea7u ti\u00ean v\u1ec1 n\u00f3<\/h2>\n<p>Kh\u00e1i ni\u1ec7m h\u1ecdc chuy\u1ec3n giao c\u00f3 th\u1ec3 b\u1eaft ngu\u1ed3n t\u1eeb l\u0129nh v\u1ef1c t\u00e2m l\u00fd h\u1ecdc v\u00e0o nh\u1eefng n\u0103m 1900, nh\u01b0ng n\u00f3 ch\u1ec9 b\u1eaft \u0111\u1ea7u t\u1ea1o n\u00ean l\u00e0n s\u00f3ng trong c\u1ed9ng \u0111\u1ed3ng h\u1ecdc m\u00e1y v\u00e0o \u0111\u1ea7u th\u1ebf k\u1ef7 21. C\u00f4ng tr\u00ecnh nghi\u00ean c\u1ee9u quan tr\u1ecdng c\u1ee7a Caruana v\u00e0o n\u0103m 1997, \u201cH\u1ecdc \u0111a nhi\u1ec7m\u201d, \u0111\u00e3 \u0111\u1eb7t n\u1ec1n t\u1ea3ng \u0111\u1ec3 hi\u1ec3u c\u00e1ch \u00e1p d\u1ee5ng ki\u1ebfn th\u1ee9c h\u1ecdc \u0111\u01b0\u1ee3c t\u1eeb m\u1ed9t nhi\u1ec7m v\u1ee5 n\u00e0y cho nh\u1eefng nhi\u1ec7m v\u1ee5 kh\u00e1c.<\/p>\n<p>L\u0129nh v\u1ef1c n\u00e0y b\u1eaft \u0111\u1ea7u ph\u00e1t tri\u1ec3n m\u1ea1nh m\u1ebd v\u1edbi s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a h\u1ecdc s\u00e2u, v\u1edbi nh\u1eefng ti\u1ebfn b\u1ed9 \u0111\u00e1ng ch\u00fa \u00fd v\u00e0o kho\u1ea3ng n\u0103m 2010, t\u1eadn d\u1ee5ng m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc cho c\u00e1c nhi\u1ec7m v\u1ee5 nh\u01b0 nh\u1eadn d\u1ea1ng h\u00ecnh \u1ea3nh.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 h\u1ecdc chuy\u1ec3n ti\u1ebfp: M\u1edf r\u1ed9ng ch\u1ee7 \u0111\u1ec1<\/h2>\n<p>H\u1ecdc chuy\u1ec3n ti\u1ebfp c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e2n th\u00e0nh ba l\u0129nh v\u1ef1c ch\u00ednh:<\/p>\n<ol>\n<li><strong>H\u1ecdc chuy\u1ec3n giao quy n\u1ea1p<\/strong>: T\u00ecm hi\u1ec3u ch\u1ee9c n\u0103ng d\u1ef1 \u0111o\u00e1n m\u1ee5c ti\u00eau v\u1edbi s\u1ef1 tr\u1ee3 gi\u00fap c\u1ee7a m\u1ed9t s\u1ed1 d\u1eef li\u1ec7u ph\u1ee5 tr\u1ee3.<\/li>\n<li><strong>H\u1ecdc chuy\u1ec3n giao chuy\u1ec3n ti\u1ebfp<\/strong>: T\u00ecm hi\u1ec3u ch\u1ee9c n\u0103ng d\u1ef1 \u0111o\u00e1n m\u1ee5c ti\u00eau theo m\u1ed9t ph\u00e2n ph\u1ed1i kh\u00e1c nh\u01b0ng c\u00f3 li\u00ean quan.<\/li>\n<li><strong>H\u1ecdc chuy\u1ec3n giao kh\u00f4ng gi\u00e1m s\u00e1t<\/strong>: Chuy\u1ec3n giao vi\u1ec7c h\u1ecdc trong \u0111\u00f3 c\u1ea3 nhi\u1ec7m v\u1ee5 ngu\u1ed3n v\u00e0 nhi\u1ec7m v\u1ee5 \u0111\u00edch \u0111\u1ec1u kh\u00f4ng \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t.<\/li>\n<\/ol>\n<p>N\u00f3 \u0111\u00e3 tr\u1edf th\u00e0nh m\u1ed9t k\u1ef9 thu\u1eadt quan tr\u1ecdng \u0111\u1ec3 \u0111\u00e0o t\u1ea1o c\u00e1c m\u00f4 h\u00ecnh deep learning, \u0111\u1eb7c bi\u1ec7t khi d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n s\u1eb5n c\u00f3 cho m\u1ed9t nhi\u1ec7m v\u1ee5 c\u1ee5 th\u1ec3 b\u1ecb h\u1ea1n ch\u1ebf.<\/p>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a H\u1ecdc chuy\u1ec3n giao: H\u1ecdc chuy\u1ec3n giao ho\u1ea1t \u0111\u1ed9ng nh\u01b0 th\u1ebf n\u00e0o<\/h2>\n<p>H\u1ecdc chuy\u1ec3n giao ho\u1ea1t \u0111\u1ed9ng b\u1eb1ng c\u00e1ch l\u1ea5y m\u1ed9t m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc (m\u1ed9t ngu\u1ed3n) tr\u00ean m\u1ed9t t\u1eadp d\u1eef li\u1ec7u l\u1edbn v\u00e0 \u0111i\u1ec1u ch\u1ec9nh n\u00f3 cho m\u1ed9t nhi\u1ec7m v\u1ee5 m\u1ee5c ti\u00eau m\u1edbi c\u00f3 li\u00ean quan. \u0110\u00e2y l\u00e0 c\u00e1ch n\u00f3 th\u01b0\u1eddng di\u1ec5n ra:<\/p>\n<ol>\n<li><strong>L\u1ef1a ch\u1ecdn m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc<\/strong>: M\u1ed9t m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u00ean m\u1ed9t t\u1eadp d\u1eef li\u1ec7u l\u1edbn.<\/li>\n<li><strong>Tinh ch\u1ec9nh<\/strong>: \u0110i\u1ec1u ch\u1ec9nh m\u00f4 h\u00ecnh \u0111\u00e3 \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n tr\u01b0\u1edbc cho ph\u00f9 h\u1ee3p v\u1edbi nhi\u1ec7m v\u1ee5 m\u1edbi.<\/li>\n<li><strong>\u0110\u00e0o t\u1ea1o l\u1ea1i<\/strong>: Hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh \u0111\u00e3 s\u1eeda \u0111\u1ed5i tr\u00ean t\u1eadp d\u1eef li\u1ec7u nh\u1ecf h\u01a1n li\u00ean quan \u0111\u1ebfn nhi\u1ec7m v\u1ee5 m\u1edbi.<\/li>\n<li><strong>S\u1ef1 \u0111\u00e1nh gi\u00e1<\/strong>: Th\u1eed nghi\u1ec7m m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o l\u1ea1i trong nhi\u1ec7m v\u1ee5 m\u1edbi \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 hi\u1ec7u su\u1ea5t.<\/li>\n<\/ol>\n<h2>Ph\u00e2n t\u00edch c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh c\u1ee7a h\u1ecdc t\u1eadp chuy\u1ec3n ti\u1ebfp<\/h2>\n<ul>\n<li><strong>Hi\u1ec7u qu\u1ea3<\/strong>: Gi\u1ea3m \u0111\u00e1ng k\u1ec3 th\u1eddi gian \u0111\u00e0o t\u1ea1o.<\/li>\n<li><strong>T\u00ednh linh ho\u1ea1t<\/strong>: C\u00f3 th\u1ec3 \u00e1p d\u1ee5ng cho nhi\u1ec1u mi\u1ec1n kh\u00e1c nhau, bao g\u1ed3m h\u00ecnh \u1ea3nh, v\u0103n b\u1ea3n v\u00e0 \u00e2m thanh.<\/li>\n<li><strong>T\u0103ng c\u01b0\u1eddng hi\u1ec7u su\u1ea5t<\/strong>: Th\u01b0\u1eddng l\u00e0m t\u1ed1t h\u01a1n nh\u1eefng ng\u01b0\u1eddi m\u1eabu \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o t\u1eeb \u0111\u1ea7u trong nhi\u1ec7m v\u1ee5 m\u1edbi.<\/li>\n<\/ul>\n<h2>C\u00e1c h\u00ecnh th\u1ee9c h\u1ecdc chuy\u1ec3n ti\u1ebfp: S\u1eed d\u1ee5ng b\u1ea3ng v\u00e0 danh s\u00e1ch<\/h2>\n<table>\n<thead>\n<tr>\n<th>Ki\u1ec3u<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>quy n\u1ea1p<\/td>\n<td>Chuy\u1ec3n giao ki\u1ebfn th\u1ee9c qua c\u00e1c nhi\u1ec7m v\u1ee5 kh\u00e1c nhau nh\u01b0ng c\u00f3 li\u00ean quan<\/td>\n<\/tr>\n<tr>\n<td>truy\u1ec1n d\u1eabn<\/td>\n<td>Chuy\u1ec3n giao ki\u1ebfn th\u1ee9c qua c\u00e1c b\u1ea3n ph\u00e2n ph\u1ed1i kh\u00e1c nhau nh\u01b0ng c\u00f3 li\u00ean quan<\/td>\n<\/tr>\n<tr>\n<td>Kh\u00f4ng \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t<\/td>\n<td>\u00c1p d\u1ee5ng cho c\u00e1c nhi\u1ec7m v\u1ee5 h\u1ecdc t\u1eadp kh\u00f4ng gi\u00e1m s\u00e1t<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng H\u1ecdc chuy\u1ec3n giao, c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p c\u1ee7a ch\u00fang<\/h2>\n<ul>\n<li><strong>C\u00e1ch s\u1eed d\u1ee5ng trong c\u00e1c mi\u1ec1n kh\u00e1c nhau<\/strong>: Nh\u1eadn d\u1ea1ng h\u00ecnh \u1ea3nh, x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean, v.v.<\/li>\n<li><strong>Th\u1eed th\u00e1ch<\/strong>: L\u1ef1a ch\u1ecdn d\u1eef li\u1ec7u li\u00ean quan, r\u1ee7i ro chuy\u1ec3n giao ti\u00eau c\u1ef1c.<\/li>\n<li><strong>C\u00e1c gi\u1ea3i ph\u00e1p<\/strong>: L\u1ef1a ch\u1ecdn c\u1ea9n th\u1eadn c\u00e1c m\u00f4 h\u00ecnh ngu\u1ed3n, \u0111i\u1ec1u ch\u1ec9nh si\u00eau tham s\u1ed1.<\/li>\n<\/ul>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 c\u00e1c so s\u00e1nh kh\u00e1c \u1edf d\u1ea1ng b\u1ea3ng v\u00e0 danh s\u00e1ch<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0111\u1eb7c tr\u01b0ng<\/th>\n<th>Chuy\u1ec3n ti\u1ebfp h\u1ecdc t\u1eadp<\/th>\n<th>H\u1ecdc t\u1eadp truy\u1ec1n th\u1ed1ng<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Th\u1eddi gian hu\u1ea5n luy\u1ec7n<\/td>\n<td>Ng\u1eafn h\u01a1n<\/td>\n<td>L\u00e2u h\u01a1n<\/td>\n<\/tr>\n<tr>\n<td>Y\u00eau c\u1ea7u d\u1eef li\u1ec7u<\/td>\n<td>\u00cdt h\u01a1n<\/td>\n<td>H\u01a1n<\/td>\n<\/tr>\n<tr>\n<td>Uy\u1ec3n chuy\u1ec3n<\/td>\n<td>Cao<\/td>\n<td>Th\u1ea5p<\/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 h\u1ecdc t\u1eadp chuy\u1ec3n ti\u1ebfp<\/h2>\n<p>H\u1ecdc chuy\u1ec3n ti\u1ebfp d\u1ef1 ki\u1ebfn s\u1ebd ph\u00e1t tri\u1ec3n c\u00f9ng v\u1edbi nh\u1eefng ti\u1ebfn b\u1ed9 trong h\u1ecdc t\u1eadp kh\u00f4ng gi\u00e1m s\u00e1t v\u00e0 t\u1ef1 gi\u00e1m s\u00e1t. C\u00e1c c\u00f4ng ngh\u1ec7 trong t\u01b0\u01a1ng lai c\u00f3 th\u1ec3 th\u1ea5y c\u00e1c ph\u01b0\u01a1ng ph\u00e1p th\u00edch \u1ee9ng hi\u1ec7u qu\u1ea3 h\u01a1n, c\u00e1c \u1ee9ng d\u1ee5ng \u0111a mi\u1ec1n v\u00e0 th\u00edch \u1ee9ng theo th\u1eddi gian th\u1ef1c.<\/p>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi vi\u1ec7c h\u1ecdc chuy\u1ec3n giao<\/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 c\u00f3 th\u1ec3 t\u1ea1o \u0111i\u1ec1u ki\u1ec7n thu\u1eadn l\u1ee3i cho vi\u1ec7c h\u1ecdc chuy\u1ec3n giao b\u1eb1ng c\u00e1ch cho ph\u00e9p thu th\u1eadp d\u1eef li\u1ec7u hi\u1ec7u qu\u1ea3 \u0111\u1ec3 x\u00e2y d\u1ef1ng c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn. Vi\u1ec7c thu th\u1eadp d\u1eef li\u1ec7u an to\u00e0n v\u00e0 \u1ea9n danh \u0111\u1ea3m b\u1ea3o tu\u00e2n th\u1ee7 c\u00e1c ti\u00eau chu\u1ea9n \u0111\u1ea1o \u0111\u1ee9c v\u00e0 quy \u0111\u1ecbnh c\u1ee7a \u0111\u1ecba ph\u01b0\u01a1ng.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.csd.uwo.ca\/~yuri\/Papers\/tkde.pdf\" target=\"_new\" rel=\"noopener nofollow\">Kh\u1ea3o s\u00e1t v\u1ec1 Chuy\u1ec3n ti\u1ebfp H\u1ecdc t\u1eadp<\/a><\/li>\n<li><a href=\"https:\/\/cs231n.github.io\/transfer-learning\/\" target=\"_new\" rel=\"noopener nofollow\">Kh\u00f3a h\u1ecdc chuy\u1ec3n ti\u1ebfp c\u1ee7a Stanford<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/vn\/\" target=\"_new\" rel=\"noopener\">OneProxy: M\u00e1y ch\u1ee7 proxy \u0111\u1ec3 thu th\u1eadp d\u1eef li\u1ec7u<\/a><\/li>\n<\/ul>","protected":false},"featured_media":470725,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-479384","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Transfer Learning<\/mark>","faq_items":[{"question":"What is Transfer Learning?","answer":"<p>Transfer Learning is a technique in machine learning where a model developed for one task is reused as the starting point for a model on a second task. It's about taking a pre-trained model (trained on some large dataset) and fine-tuning it for a new, related problem, thereby saving computation time and resources.<\/p>"},{"question":"How did Transfer Learning originate?","answer":"<p>Transfer Learning can be traced back to the field of psychology in the 1900s, but its application in machine learning began with the work of Caruana in 1997. The growth of deep learning around 2010 further facilitated its widespread adoption in tasks like image recognition.<\/p>"},{"question":"What are the main types of Transfer Learning?","answer":"<p>There are three main types of Transfer Learning: Inductive, where knowledge is transferred across different but related tasks; Transductive, where knowledge is transferred across different but related distributions; and Unsupervised, which applies to unsupervised learning tasks.<\/p>"},{"question":"How does Transfer Learning work?","answer":"<p>Transfer Learning works by taking a pre-trained model on a large dataset and adapting it for a new, related target task. This typically involves selecting a pre-trained model, fine-tuning it, re-training it on the smaller dataset related to the new task, and then evaluating its performance.<\/p>"},{"question":"What are the key features of Transfer Learning?","answer":"<p>The key features of Transfer Learning include its efficiency in reducing training time, versatility across various domains, and often providing a performance boost over models trained from scratch on a new task.<\/p>"},{"question":"What problems might be encountered with Transfer Learning, and how can they be solved?","answer":"<p>Some challenges in Transfer Learning include the selection of relevant data and the risk of negative transfer, where the transfer might hinder instead of help the learning process. These challenges can be overcome by careful selection of source models and proper hyperparameter tuning.<\/p>"},{"question":"How are proxy servers like OneProxy associated with Transfer Learning?","answer":"<p>Proxy servers like those provided by OneProxy can facilitate Transfer Learning by enabling efficient data scraping for building large datasets. This secure and anonymous data collection ensures compliance with ethical standards and local regulations.<\/p>"},{"question":"What are the future perspectives and technologies associated with Transfer Learning?","answer":"<p>Future perspectives related to Transfer Learning include growth in unsupervised and self-supervised learning, more efficient adaptation methods, cross-domain applications, and real-time adaptation.<\/p>"},{"question":"How does Transfer Learning compare to traditional learning methods?","answer":"<p>Compared to traditional learning, Transfer Learning typically requires shorter training time, fewer data requirements, and offers higher flexibility. It can often provide better performance on new tasks compared to models trained from scratch.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/479384","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\/479384\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/470725"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=479384"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}