{"id":74645,"date":"2024-07-08T17:44:07","date_gmt":"2024-07-08T10:44:07","guid":{"rendered":"https:\/\/itviec.com\/blog\/?p=74645"},"modified":"2024-07-08T17:44:07","modified_gmt":"2024-07-08T10:44:07","slug":"tensorflow-la-gi","status":"publish","type":"post","link":"https:\/\/itviec.com\/blog\/tensorflow-la-gi\/","title":{"rendered":"TensorFlow l\u00e0 g\u00ec? Tensorflow c\u00f3 ph\u1ea3i l\u00e0 k\u1ef9 n\u0103ng c\u1ea7n thi\u1ebft kh\u00f4ng?"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">N\u1ed9i dung b\u00e0i vi\u1ebft<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/itviec.com\/blog\/tensorflow-la-gi\/#TensorFlow_la_gi\" >TensorFlow l\u00e0 g\u00ec?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/itviec.com\/blog\/tensorflow-la-gi\/#Ung_dung_cua_TensorFlow\" >\u1ee8ng d\u1ee5ng c\u1ee7a TensorFlow<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/itviec.com\/blog\/tensorflow-la-gi\/#Cac_tinh_nang_dac_trung_cua_TensorFlow_la_gi\" >C\u00e1c t\u00ednh n\u0103ng \u0111\u1eb7c tr\u01b0ng c\u1ee7a TensorFlow l\u00e0 g\u00ec?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/itviec.com\/blog\/tensorflow-la-gi\/#Su_khac_biet_giua_Keras_PyTorch_va_TensorFlow_la_gi\" >S\u1ef1 kh\u00e1c bi\u1ec7t gi\u1eefa Keras, PyTorch v\u00e0 TensorFlow l\u00e0 g\u00ec?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/itviec.com\/blog\/tensorflow-la-gi\/#TensorFlow_co_phai_la_ky_nang_can_thiet_trong_nganh_khoa_hoc_du_lieu\" >TensorFlow c\u00f3 ph\u1ea3i l\u00e0 k\u1ef9 n\u0103ng c\u1ea7n thi\u1ebft trong ng\u00e0nh khoa h\u1ecdc d\u1eef li\u1ec7u?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/itviec.com\/blog\/tensorflow-la-gi\/#Cau_hoi_thuong_gap_ve_TensorFlow_la_gi\" >C\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p v\u1ec1 TensorFlow l\u00e0 g\u00ec<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/itviec.com\/blog\/tensorflow-la-gi\/#Tong_ket_TensorFlow_la_gi\" >T\u1ed5ng k\u1ebft TensorFlow l\u00e0 g\u00ec<\/a><\/li><\/ul><\/nav><\/div>\n<p><em><strong>G\u1ea7n \u0111\u00e2y, tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) \u0111\u00e3 tr\u1edf th\u00e0nh tr\u1ecdng t\u00e2m trong c\u1ea3 nghi\u00ean c\u1ee9u h\u1ecdc thu\u1eadt v\u00e0 \u1ee9ng d\u1ee5ng c\u00f4ng nghi\u1ec7p. Khi m\u1ed1i quan t\u00e2m \u0111\u1ebfn AI ng\u00e0y c\u00e0ng t\u0103ng th\u00ec s\u1ef1 ch\u00fa \u00fd \u0111\u1ebfn TensorFlow &#8211; m\u1ed9t trong nh\u1eefng framework n\u1ed5i b\u1eadt nh\u1ea5t cho deep learning c\u0169ng t\u0103ng theo. B\u00e0i vi\u1ebft n\u00e0y s\u1ebd gi\u00fap b\u1ea1n kh\u00e1m ph\u00e1 TensorFlow l\u00e0 g\u00ec, c\u00e1c t\u00ednh n\u0103ng c\u1ee7a TensorFlow, c\u0169ng nh\u01b0 c\u00e1ch \u1ee9ng d\u1ee5ng framework n\u00e0y \u0111\u1ec3 v\u01b0\u1ee3t qua c\u00e1c th\u00e1ch th\u1ee9c c\u1ee7a l\u0129nh v\u1ef1c h\u1ecdc m\u00e1y v\u00e0 gi\u1ea3i quy\u1ebft c\u00e1c v\u1ea5n \u0111\u1ec1 ph\u1ee9c t\u1ea1p, th\u00f4ng qua c\u00e1c v\u00ed d\u1ee5 v\u00e0 th\u1ea3o lu\u1eadn chi ti\u1ebft.<\/strong><\/em><\/p>\n<p>\u0110\u1ecdc b\u00e0i vi\u1ebft \u0111\u1ec3 hi\u1ec3u r\u00f5 h\u01a1n:<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">TensorFlow l\u00e0 g\u00ec?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">T\u00ednh n\u0103ng \u0111\u1eb7c tr\u01b0ng c\u1ee7a TensorFlow<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">So s\u00e1nh gi\u1eefa PyTorch, TensorFlow v\u00e0 Keras<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\u0110\u00e1nh gi\u00e1 s\u1ef1 c\u1ea7n thi\u1ebft c\u1ee7a TensorFlow trong Ng\u00e0nh khoa h\u1ecdc d\u1eef li\u1ec7u<\/span><\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"TensorFlow_la_gi\"><\/span><strong>TensorFlow l\u00e0 g\u00ec?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">TensorFlow l\u00e0 m\u1ed9t th\u01b0 vi\u1ec7n ph\u1ea7n m\u1ec1m m\u00e3 ngu\u1ed3n m\u1edf \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n b\u1edfi nh\u00f3m Google Brain, s\u1eed d\u1ee5ng cho c\u00e1c th\u1eed nghi\u1ec7m li\u00ean quan \u0111\u1ebfn m\u00e1y h\u1ecdc (machine learning) v\u00e0 h\u1ecdc s\u00e2u (deep learning).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u0110\u01b0\u1ee3c ph\u00e1t h\u00e0nh l\u1ea7n \u0111\u1ea7u v\u00e0o n\u0103m 2015, TensorFlow nhanh ch\u00f3ng tr\u1edf th\u00e0nh m\u1ed9t trong nh\u1eefng c\u00f4ng c\u1ee5 ph\u1ed5 bi\u1ebfn nh\u1ea5t trong l\u0129nh v\u1ef1c tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o nh\u1edd v\u00e0o s\u1ef1 linh ho\u1ea1t, t\u00ednh t\u01b0\u01a1ng th\u00edch v\u1edbi nhi\u1ec1u ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh v\u00e0 t\u00ednh hi\u1ec7u qu\u1ea3 trong vi\u1ec7c hu\u1ea5n luy\u1ec7n c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u.<\/span><\/p>\n<p>Tr\u01b0\u1edbc khi t\u00ecm hi\u1ec3u chi ti\u1ebft v\u1ec1 TensorFlow, b\u1ea1n n\u00ean hi\u1ec3u c\u01a1 b\u1ea3n v\u1ec1 m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u l\u00e0 g\u00ec:<\/p>\n<h3><strong>H\u1ecdc s\u00e2u (Deep Learning) l\u00e0 g\u00ec?\u00a0<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">H\u1ecdc s\u00e2u l\u00e0 m\u1ed9t nh\u00e1nh nghi\u00ean c\u1ee9u c\u1ee7a h\u1ecdc m\u00e1y (machine learning), ho\u1ea1t \u0111\u1ed9ng d\u1ef1a tr\u00ean c\u1ea5u tr\u00fac v\u00e0 ch\u1ee9c n\u0103ng t\u01b0\u01a1ng t\u1ef1 nh\u01b0 b\u1ed9 n\u00e3o con ng\u01b0\u1eddi. N\u00f3 h\u1ecdc t\u1eeb d\u1eef li\u1ec7u phi c\u1ea5u tr\u00fac v\u00e0 s\u1eed d\u1ee5ng c\u00e1c thu\u1eadt to\u00e1n ph\u1ee9c t\u1ea1p \u0111\u1ec3 hu\u1ea5n luy\u1ec7n m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Kh\u00f4ng gi\u1ed1ng nh\u01b0 h\u1ecdc m\u00e1y truy\u1ec1n th\u1ed1ng, d\u1eef li\u1ec7u h\u1ecdc s\u00e2u ph\u1ee9c t\u1ea1p h\u01a1n, kh\u00f4ng c\u00f3 c\u1ea5u tr\u00fac v\u00e0 r\u1ea5t \u0111a d\u1ea1ng, nh\u01b0 h\u00ecnh \u1ea3nh, \u00e2m thanh ho\u1eb7c t\u1ec7p v\u0103n b\u1ea3n. M\u1ed9t trong nh\u1eefng th\u00e0nh ph\u1ea7n c\u1ed1t l\u00f5i c\u1ee7a h\u1ecdc s\u00e2u l\u00e0 m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh, th\u01b0\u1eddng tr\u00f4ng gi\u1ed1ng nh\u01b0 h\u00ecnh \u1ea3nh b\u00ean d\u01b0\u1edbi:<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-74649 size-large\" src=\"https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/simple-vs-deep-neural-network-vippro-640x277.png\" alt=\"\" width=\"640\" height=\"277\" srcset=\"https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/simple-vs-deep-neural-network-vippro-700x303.png 640w, https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/simple-vs-deep-neural-network-vippro-300x130.png 300w, https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/simple-vs-deep-neural-network-vippro-200x86.png 200w, https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/simple-vs-deep-neural-network-vippro-100x43.png 100w, https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/simple-vs-deep-neural-network-vippro.png 1598w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/p>\n<p style=\"text-align: center;\"><em>M\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh d\u1ea1ng \u0111\u01a1n gi\u1ea3n vs M\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh trong h\u1ecdc s\u00e2u. Ngu\u1ed3n: go-rbcs.com<\/em><\/p>\n<p><span style=\"font-weight: 400;\">Nh\u01b0 \u0111\u00e3 th\u1ea5y \u1edf tr\u00ean h\u00ecnh, c\u00f3 m\u1ed9t l\u1edbp \u0111\u1ea7u v\u00e0o (input layer), m\u1ed9t l\u1edbp \u0111\u1ea7u ra (output layer) v\u00e0 \u1edf gi\u1eefa c\u00f3 m\u1ed9t s\u1ed1 l\u1edbp \u1ea9n (hidden layers). B\u1ea5t k\u1ef3 m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh n\u00e0o c\u0169ng s\u1ebd c\u00f3 \u00edt nh\u1ea5t m\u1ed9t l\u1edbp \u1ea9n. M\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh h\u1ecdc s\u00e2u c\u00f3 nhi\u1ec1u h\u01a1n m\u1ed9t l\u1edbp \u1ea9n.<\/span><\/p>\n<p><strong>L\u1edbp \u0111\u1ea7u v\u00e0o &#8211; Input Layer<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">L\u1edbp \u0111\u1ea7u v\u00e0o ch\u1ea5p nh\u1eadn kh\u1ed1i l\u01b0\u1ee3ng l\u1edbn d\u1eef li\u1ec7u l\u00e0m \u0111\u1ea7u v\u00e0o \u0111\u1ec3 x\u00e2y d\u1ef1ng m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh. D\u1eef li\u1ec7u c\u00f3 th\u1ec3 \u1edf d\u1ea1ng v\u0103n b\u1ea3n, h\u00ecnh \u1ea3nh, \u00e2m thanh,&#8230;<\/span><\/p>\n<p><strong>L\u1edbp \u1ea9n &#8211; Hidden Layer<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">L\u1edbp n\u00e0y x\u1eed l\u00fd d\u1eef li\u1ec7u b\u1eb1ng c\u00e1ch th\u1ef1c hi\u1ec7n c\u00e1c t\u00ednh to\u00e1n ph\u1ee9c t\u1ea1p v\u00e0 th\u1ef1c hi\u1ec7n tr\u00edch xu\u1ea5t t\u00ednh n\u0103ng. L\u00e0 m\u1ed9t ph\u1ea7n c\u1ee7a qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o, c\u00e1c l\u1edbp n\u00e0y c\u00f3 tr\u1ecdng s\u1ed1 v\u00e0 \u0111\u1ed9 l\u1ec7ch \u0111\u01b0\u1ee3c c\u1eadp nh\u1eadt li\u00ean t\u1ee5c cho \u0111\u1ebfn khi qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o ho\u00e0n t\u1ea5t. M\u1ed7i n\u01a1-ron c\u00f3 nhi\u1ec1u tr\u1ecdng s\u1ed1 v\u00e0 m\u1ed9t \u0111\u1ed9 l\u1ec7ch. Sau khi t\u00ednh to\u00e1n, c\u00e1c gi\u00e1 tr\u1ecb \u0111\u01b0\u1ee3c chuy\u1ec3n \u0111\u1ebfn l\u1edbp \u0111\u1ea7u ra.<\/span><\/p>\n<p><strong>L\u1edbp \u0111\u1ea7u ra &#8211; Output Layer<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">L\u1edbp \u0111\u1ea7u ra t\u1ea1o ra \u0111\u1ea7u ra d\u1ef1 \u0111o\u00e1n b\u1eb1ng c\u00e1ch \u00e1p d\u1ee5ng c\u00e1c h\u00e0m k\u00edch ho\u1ea1t ph\u00f9 h\u1ee3p. \u0110\u1ea7u ra c\u00f3 th\u1ec3 \u1edf d\u1ea1ng gi\u00e1 tr\u1ecb s\u1ed1 ho\u1eb7c ph\u00e2n lo\u1ea1i.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">V\u00ed d\u1ee5: n\u1ebfu m\u00f4 h\u00ecnh AI l\u00e0 m\u1ed9t \u1ee9ng d\u1ee5ng ph\u00e2n lo\u1ea1i h\u00ecnh \u1ea3nh, n\u00f3 s\u1ebd cho ch\u00fang ta bi\u1ebft m\u1ed9t h\u00ecnh \u1ea3nh c\u1ee5 th\u1ec3 c\u00f3 th\u1ec3 thu\u1ed9c v\u1ec1 l\u1edbp n\u00e0o. \u0110\u1ea7u v\u00e0o c\u00f3 th\u1ec3 l\u00e0 nhi\u1ec1u h\u00ecnh \u1ea3nh, ch\u1eb3ng h\u1ea1n nh\u01b0 m\u00e8o v\u00e0 ch\u00f3. \u0110\u1ea7u ra c\u00f3 th\u1ec3 \u1edf d\u1ea1ng ph\u00e2n lo\u1ea1i nh\u1ecb ph\u00e2n nh\u01b0 s\u1ed1 0 cho con ch\u00f3 v\u00e0 s\u1ed1 1 cho con m\u00e8o.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">M\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c m\u1edf r\u1ed9ng v\u1edbi nhi\u1ec1u n\u01a1-ron \u1edf ph\u00eda \u0111\u1ea7u ra \u0111\u1ec3 c\u00f3 th\u00eam nhi\u1ec1u l\u1edbp. N\u00f3 c\u0169ng c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng cho c\u00e1c v\u1ea5n \u0111\u1ec1 h\u1ed3i quy v\u00e0 chu\u1ed7i th\u1eddi gian.<\/span><\/p>\n<h3><strong>Ngu\u1ed3n g\u1ed1c c\u1ee7a c\u00e1i t\u00ean TensorFlow l\u00e0 g\u00ec?<\/strong><\/h3>\n<p><b><span style=\"font-weight: 400;\">TensorFlow b\u1eaft ngu\u1ed3n t\u1eeb c\u00e1c thao t\u00e1c m\u00e0 c\u00e1c m\u1ea1ng n\u01a1-ron th\u1ef1c hi\u1ec7n tr\u00ean c\u00e1c m\u1ea3ng d\u1eef li\u1ec7u \u0111a chi\u1ec1u, \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 &#8220;tensor&#8221;.\u00a0<\/span><\/b><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-large wp-image-74650\" src=\"https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/tensor-flow-vippro-640x226.jpg\" alt=\"\" width=\"640\" height=\"226\" srcset=\"https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/tensor-flow-vippro-700x248.jpg 640w, https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/tensor-flow-vippro-300x106.jpg 300w, https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/tensor-flow-vippro-200x71.jpg 200w, https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/tensor-flow-vippro-100x35.jpg 100w, https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/tensor-flow-vippro.jpg 800w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/p>\n<p style=\"text-align: center;\"><em>\u201cTensor\u201d l\u00e0 m\u1ed9t ma tr\u1eadn \u0111\u1eb7c bi\u1ec7t d\u00f9ng trong thu\u1eadt to\u00e1n h\u1ecdc s\u00e2u.<\/em><\/p>\n<p><span style=\"font-weight: 400;\">Ph\u1ea7n &#8220;flow&#8221; (d\u00f2ng ch\u1ea3y) trong TensorFlow \u0111\u1ec1 c\u1eadp \u0111\u1ebfn kh\u1ea3 n\u0103ng c\u1ee7a th\u01b0 vi\u1ec7n th\u1ef1c hi\u1ec7n c\u00e1c thao t\u00e1c n\u00e0y d\u01b0\u1edbi d\u1ea1ng m\u1ed9t \u0111\u1ed3 th\u1ecb c\u1ee7a c\u00e1c n\u00fat ch\u1ea3y d\u1eef li\u1ec7u, cho ph\u00e9p bi\u1ec3u \u0111\u1ea1t c\u00e1c ph\u00e9p t\u00ednh ph\u1ee9c t\u1ea1p m\u1ed9t c\u00e1ch tr\u1ef1c quan v\u00e0 m\u1ea1nh m\u1ebd.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-74723 size-full\" src=\"https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/Tensorflow-vippro.jpg\" alt=\"tensorflow l\u00e0 g\u00ec\" width=\"1400\" height=\"1238\" srcset=\"https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/Tensorflow-vippro.jpg 1400w, https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/Tensorflow-vippro-300x265.jpg 300w, https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/Tensorflow-vippro-1357x1200.jpg 640w, https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/Tensorflow-vippro-200x177.jpg 200w, https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/Tensorflow-vippro-100x88.jpg 100w, https:\/\/itviec.com\/blog\/wp-content\/uploads\/2024\/06\/Tensorflow-vippro-509x450.jpg 509w\" sizes=\"auto, (max-width: 1400px) 100vw, 1400px\" \/><\/p>\n<p style=\"text-align: center;\"><em>S\u01a1 \u0111\u1ed3 \u201cFlow\u201d c\u1ee7a c\u00e1c \u201cTensor\u201d trong framework TensorFlow.<\/em><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Ung_dung_cua_TensorFlow\"><\/span><strong>\u1ee8ng d\u1ee5ng c\u1ee7a TensorFlow<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">TensorFlow \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng cho nhi\u1ec1u t\u00e1c v\u1ee5 kh\u00e1c nhau trong m\u00e1y h\u1ecdc v\u00e0 h\u1ecdc s\u00e2u, v\u00ed d\u1ee5 nh\u01b0: nh\u1eadn d\u1ea1ng gi\u1ecdng n\u00f3i\/\u00e2m thanh, \u1ee9ng d\u1ee5ng d\u1ef1a tr\u00ean v\u0103n b\u1ea3n, nh\u1eadn d\u1ea1ng h\u00ecnh \u1ea3nh v\u00e0 ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian. N\u00f3 \u0111\u1ee7 linh ho\u1ea1t \u0111\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong nghi\u00ean c\u1ee9u h\u1ecdc thu\u1eadt, c\u00f4ng nghi\u1ec7p v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng tr\u00ean nhi\u1ec1u n\u1ec1n t\u1ea3ng v\u00e0 ng\u00f4n ng\u1eef kh\u00e1c nhau.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">TensorFlow h\u1ed7 tr\u1ee3 c\u1ea3 thi\u1ebft b\u1ecb t\u00ednh to\u00e1n CPU v\u00e0 GPU, cung c\u1ea5p kh\u1ea3 n\u0103ng t\u00ednh to\u00e1n linh ho\u1ea1t v\u00e0 di \u0111\u1ed9ng, c\u00f3 th\u1ec3 th\u00edch \u1ee9ng v\u1edbi h\u1ea7u h\u1ebft c\u00e1c thi\u1ebft b\u1ecb c\u00f3 kh\u1ea3 n\u0103ng x\u1eed l\u00fd.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Cac_tinh_nang_dac_trung_cua_TensorFlow_la_gi\"><\/span><strong>C\u00e1c t\u00ednh n\u0103ng \u0111\u1eb7c tr\u01b0ng c\u1ee7a TensorFlow l\u00e0 g\u00ec?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><strong>AutoDifferentiation (T\u1ef1 \u0111\u1ed9ng ph\u00e2n bi\u1ec7t)<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">AutoDifferentiation l\u00e0 m\u1ed9t k\u1ef9 thu\u1eadt trong t\u00ednh to\u00e1n s\u1ed1 h\u1ecdc cho ph\u00e9p t\u00ednh to\u00e1n \u0111\u1ea1o h\u00e0m c\u1ee7a c\u00e1c h\u00e0m s\u1ed1 m\u1ed9t c\u00e1ch t\u1ef1 \u0111\u1ed9ng v\u00e0 ch\u00ednh x\u00e1c. K\u1ef9 thu\u1eadt n\u00e0y \u0111\u1eb7c bi\u1ec7t h\u1eefu \u00edch trong c\u00e1c l\u0129nh v\u1ef1c nh\u01b0 h\u1ecdc s\u00e2u (deep learning), t\u1ed1i \u01b0u h\u00f3a v\u00e0 m\u00f4 ph\u1ecfng h\u1ec7 th\u1ed1ng.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AutoDifferentiation l\u00e0 n\u1ec1n t\u1ea3ng quan tr\u1ecdng c\u1ee7a TensorFlow, AutoDifferentiation t\u1ef1 \u0111\u1ed9ng t\u00ednh to\u00e1n gradient cho t\u1eebng tham s\u1ed1 c\u1ee7a m\u00f4 h\u00ecnh. T\u00ednh n\u0103ng n\u00e0y r\u1ea5t c\u1ea7n thi\u1ebft cho c\u00e1c thu\u1eadt to\u00e1n nh\u01b0 backpropagation, gi\u00fap t\u1ed1i \u01b0u h\u00f3a hi\u1ec7u su\u1ea5t m\u00f4 h\u00ecnh b\u1eb1ng c\u00e1ch \u0111i\u1ec1u ch\u1ec9nh c\u00e1c tham s\u1ed1 d\u1ef1a tr\u00ean gradient \u0111\u01b0\u1ee3c t\u00ednh. TensorFlow theo d\u00f5i c\u00e1c thao t\u00e1c tr\u00ean tensor \u0111\u1ea7u v\u00e0o v\u00e0 t\u00ednh to\u00e1n gradient m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3, \u0111\u01a1n gi\u1ea3n h\u00f3a qu\u00e1 tr\u00ecnh t\u1ed1i \u01b0u m\u00f4 h\u00ecnh.<\/span><\/p>\n<blockquote>\n<ul>\n<li><span style=\"font-weight: 400;\">Backpropagation (lan truy\u1ec1n ng\u01b0\u1ee3c) l\u00e0 m\u1ed9t thu\u1eadt to\u00e1n \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 hu\u1ea5n luy\u1ec7n m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o, \u0111\u1eb7c bi\u1ec7t l\u00e0 c\u00e1c m\u1ea1ng nhi\u1ec1u l\u1edbp (deep neural networks). \u0110\u00e2y l\u00e0 m\u1ed9t ph\u1ea7n quan tr\u1ecdng trong h\u1ecdc s\u00e2u (deep learning) v\u00e0 gi\u00fap \u0111i\u1ec1u ch\u1ec9nh c\u00e1c tr\u1ecdng s\u1ed1 c\u1ee7a m\u1ea1ng \u0111\u1ec3 gi\u1ea3m thi\u1ec3u l\u1ed7i gi\u1eefa \u0111\u1ea7u ra d\u1ef1 \u0111o\u00e1n v\u00e0 \u0111\u1ea7u ra th\u1ef1c t\u1ebf.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Gradient l\u00e0 m\u1ed9t kh\u00e1i ni\u1ec7m quan tr\u1ecdng trong to\u00e1n h\u1ecdc v\u00e0 h\u1ecdc m\u00e1y, \u0111\u1eb7c bi\u1ec7t trong c\u00e1c ph\u01b0\u01a1ng ph\u00e1p t\u1ed1i \u01b0u h\u00f3a nh\u01b0 gradient descent. Trong ng\u1eef c\u1ea3nh h\u1ecdc s\u00e2u (deep learning) v\u00e0 m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o, gradient gi\u00fap t\u00ecm ki\u1ebfm h\u01b0\u1edbng t\u1ed1i \u01b0u \u0111\u1ec3 \u0111i\u1ec1u ch\u1ec9nh c\u00e1c tham s\u1ed1 (tr\u1ecdng s\u1ed1) c\u1ee7a m\u00f4 h\u00ecnh nh\u1eb1m gi\u1ea3m thi\u1ec3u h\u00e0m m\u1ea5t m\u00e1t (loss function).<\/span><\/li>\n<\/ul>\n<\/blockquote>\n<h3><strong>Eager Execution (Th\u1ef1c thi ngay l\u1eadp t\u1ee9c)<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Kh\u00e1c v\u1edbi ph\u01b0\u01a1ng ph\u00e1p truy\u1ec1n th\u1ed1ng t\u1ea1o v\u00e0 th\u1ef1c thi \u0111\u1ed3 th\u1ecb t\u00ednh to\u00e1n sau n\u00e0y, ch\u1ebf \u0111\u1ed9 th\u1ef1c thi ngay l\u1eadp t\u1ee9c (Eager Execution) c\u1ee7a TensorFlow \u0111\u00e1nh gi\u00e1 c\u00e1c thao t\u00e1c ngay l\u1eadp t\u1ee9c. Vi\u1ec7c \u0111\u00e1nh gi\u00e1 ngay l\u1eadp t\u1ee9c n\u00e0y cho ph\u00e9p g\u1ee1 l\u1ed7i chi ti\u1ebft \u1edf m\u1ed7i b\u01b0\u1edbc, n\u00e2ng cao t\u00ednh minh b\u1ea1ch v\u00e0 gi\u00fap d\u1ec5 d\u00e0ng g\u1ee1 l\u1ed7i h\u01a1n.<\/span><\/p>\n<h3><strong>T\u00ednh to\u00e1n ph\u00e2n t\u00e1n<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">TensorFlow h\u1ed7 tr\u1ee3 t\u00ednh to\u00e1n tr\u00ean nhi\u1ec1u thi\u1ebft b\u1ecb, d\u00f9 trong ch\u1ebf \u0111\u1ed9 th\u1ef1c thi ngay l\u1eadp t\u1ee9c hay \u0111\u1ed3 th\u1ecb. B\u1eb1ng c\u00e1ch ph\u00e2n ph\u1ed1i c\u00e1c t\u00e1c v\u1ee5, TensorFlow c\u00f3 th\u1ec3 t\u0103ng t\u1ed1c \u0111\u1ed9 \u0111\u00e0o t\u1ea1o v\u00e0 \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh &#8211; m\u1ed9t c\u00e1ch l\u00e0m ph\u1ed5 bi\u1ebfn trong AI \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c t\u00ednh to\u00e1n r\u1ed9ng l\u1edbn.<\/span><\/p>\n<h3><strong>C\u00e1c h\u00e0m Loss<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">M\u1ed9t t\u00ednh n\u0103ng quan tr\u1ecdng cho vi\u1ec7c \u0111\u00e0o t\u1ea1o v\u00e0 \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh \u0111\u00f3 l\u00e0 c\u00e1c h\u00e0m loss. TensorFlow cung c\u1ea5p nhi\u1ec1u h\u00e0m loss, nh\u01b0 sai s\u1ed1 b\u00ecnh ph\u01b0\u01a1ng trung b\u00ecnh (MSE) v\u00e0 entropy ch\u00e9o nh\u1ecb ph\u00e2n (BCE). Nh\u1eefng h\u00e0m n\u00e0y gi\u00fap \u0111o l\u01b0\u1eddng \u0111\u1ed9 ch\u00ednh x\u00e1c c\u1ee7a m\u00f4 h\u00ecnh trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o v\u00e0 \u0111i\u1ec1u ch\u1ec9nh c\u00e1c tham s\u1ed1 t\u01b0\u01a1ng \u1ee9ng.<\/span><\/p>\n<h3><strong>Cung c\u1ea5p <a href=\"https:\/\/itviec.com\/blog\/api-la-gi\/\" target=\"_blank\" rel=\"noopener\">API<\/a> cho c\u00e1c ch\u1ec9 s\u1ed1 \u0111\u00e1nh gi\u00e1\u00a0<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">\u0110\u1ec3 \u0111\u00e1nh gi\u00e1 hi\u1ec7u su\u1ea5t c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh m\u00e1y h\u1ecdc, TensorFlow cung c\u1ea5p API cho c\u00e1c ch\u1ec9 s\u1ed1 nh\u01b0 \u0111\u1ed9 ch\u00ednh x\u00e1c (binary, categorical, sparse categorical), \u0111\u1ed9 nh\u1ea1y v\u00e0 Intersection-over-Union (IoU). Nh\u1eefng ch\u1ec9 s\u1ed1 n\u00e0y r\u1ea5t c\u1ea7n thi\u1ebft \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 hi\u1ec7u qu\u1ea3 m\u00f4 h\u00ecnh trong c\u00e1c t\u00ecnh hu\u1ed1ng th\u1ef1c t\u1ebf.<\/span><\/p>\n<blockquote><p><span style=\"font-weight: 400;\">Intersection-over-Union (IoU) l\u00e0 m\u1ed9t ch\u1ec9 s\u1ed1 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 \u0111\u1ed9 ch\u00ednh x\u00e1c c\u1ee7a c\u00e1c thu\u1eadt to\u00e1n nh\u1eadn di\u1ec7n \u0111\u1ed1i t\u01b0\u1ee3ng trong l\u0129nh v\u1ef1c th\u1ecb gi\u00e1c m\u00e1y t\u00ednh, \u0111\u1eb7c bi\u1ec7t l\u00e0 trong b\u00e0i to\u00e1n ph\u00e2n v\u00f9ng \u1ea3nh v\u00e0 ph\u00e1t hi\u1ec7n \u0111\u1ed1i t\u01b0\u1ee3ng. IoU \u0111o l\u01b0\u1eddng m\u1ee9c \u0111\u1ed9 ch\u1ed3ng l\u1ea5p gi\u1eefa hai v\u00f9ng: v\u00f9ng d\u1ef1 \u0111o\u00e1n c\u1ee7a m\u00f4 h\u00ecnh v\u00e0 v\u00f9ng th\u1ef1c t\u1ebf (ground truth).<\/span><\/p><\/blockquote>\n<h3><strong>C\u00e1c thao t\u00e1c m\u1ea1ng n\u01a1-ron (TF.nn)<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">M\u00f4-\u0111un n\u00e0y h\u1ed7 tr\u1ee3 c\u00e1c ch\u1ee9c n\u0103ng c\u01a1 b\u1ea3n c\u1ee7a m\u1ea1ng n\u01a1-ron, bao g\u1ed3m c\u00e1c lo\u1ea1i t\u00edch ch\u1eadp kh\u00e1c nhau, c\u00e1c h\u00e0m k\u00edch ho\u1ea1t (v\u00ed d\u1ee5: Softmax, RELU, Sigmoid) v\u00e0 c\u00e1c thao t\u00e1c kh\u00e1c nh\u01b0 t\u1ed1i \u0111a h\u00f3a v\u00f9ng ch\u1ecdn. Nh\u1eefng thao t\u00e1c n\u00e0y l\u00e0 c\u01a1 s\u1edf \u0111\u1ec3 x\u00e2y d\u1ef1ng v\u00e0 th\u1ef1c thi c\u00e1c m\u00f4 h\u00ecnh m\u1ea1ng n\u01a1-ron.<\/span><\/p>\n<h3><strong>C\u00e1c b\u1ed9 t\u1ed1i \u01b0u h\u00f3a<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">TensorFlow bao g\u1ed3m m\u1ed9t b\u1ed9 c\u00e1c c\u00f4ng c\u1ee5 t\u1ed1i \u01b0u h\u00f3a nh\u01b0 ADAM, ADAGRAD, v\u00e0 Lan Truy\u1ec1n Gradient Ng\u1eabu nhi\u00ean (SGD). Nh\u1eefng c\u00f4ng c\u1ee5 n\u00e0y r\u1ea5t quan tr\u1ecdng trong vi\u1ec7c tinh ch\u1ec9nh c\u00e1c tham s\u1ed1 m\u00f4 h\u00ecnh, \u1ea3nh h\u01b0\u1edfng \u0111\u00e1ng k\u1ec3 \u0111\u1ebfn t\u1ed1c \u0111\u1ed9<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Su_khac_biet_giua_Keras_PyTorch_va_TensorFlow_la_gi\"><\/span><strong>S\u1ef1 kh\u00e1c bi\u1ec7t gi\u1eefa Keras, PyTorch v\u00e0 TensorFlow l\u00e0 g\u00ec?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">PyTorch l\u00e0 m\u1ed9t th\u01b0 vi\u1ec7n h\u1ecdc s\u00e2u m\u00e3 ngu\u1ed3n m\u1edf ph\u00e1t tri\u1ec3n b\u1edfi Facebook, n\u1ed5i b\u1eadt v\u1edbi kh\u1ea3 n\u0103ng t\u00ednh to\u00e1n \u0111\u1ed9ng v\u00e0 d\u1ec5 d\u00e0ng s\u1eed d\u1ee5ng cho nghi\u00ean c\u1ee9u. Keras l\u00e0 m\u1ed9t API h\u1ecdc s\u00e2u, d\u1ec5 s\u1eed d\u1ee5ng, ph\u00e1t tri\u1ec3n b\u1edfi Francois Chollet, \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p s\u1eb5n trong TensorFlow \u0111\u1ec3 x\u00e2y d\u1ef1ng v\u00e0 hu\u1ea5n luy\u1ec7n c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u m\u1ed9t c\u00e1ch \u0111\u01a1n gi\u1ea3n v\u00e0 hi\u1ec7u qu\u1ea3.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">M\u1ed7i ng\u01b0\u1eddi c\u00f3 nhu c\u1ea7u v\u00e0 b\u00e0i to\u00e1n kh\u00e1c nhau v\u1ec1 \u1ee9ng d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o, v\u00ec v\u1eady vi\u1ec7c l\u1ef1a ch\u1ecdn th\u01b0 vi\u1ec7n ph\u00f9 h\u1ee3p c\u00f2n ph\u1ee5 thu\u1ed9c v\u00e0o c\u00e1c t\u00ednh ch\u1ea5t d\u1ef1 \u00e1n AI c\u1ee7a b\u1ea1n. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 b\u1ea3ng so s\u00e1nh tham kh\u1ea3o v\u1ec1 Keras, PyTorch v\u00e0 TensorFlow.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td>\n<p style=\"text-align: left;\"><strong>Ti\u00eau ch\u00ed so s\u00e1nh<\/strong><\/p>\n<\/td>\n<td style=\"text-align: left;\"><a href=\"https:\/\/keras.io\/\" target=\"_blank\" rel=\"noopener\"><strong>Keras<\/strong><\/a><\/td>\n<td style=\"text-align: left;\"><a href=\"https:\/\/pytorch.org\/\" target=\"_blank\" rel=\"noopener\"><strong>PyTorch<\/strong><\/a><\/td>\n<td style=\"text-align: left;\"><strong>TensorFlow<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\"><strong>M\u1ee9c API<\/strong><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">Cao<\/span><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">Th\u1ea5p<\/span><\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Cao v\u00e0 Th\u1ea5p<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><strong>Ki\u1ebfn tr\u00fac<\/strong><\/p>\n<\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">\u0110\u01a1n gi\u1ea3n, ng\u1eafn g\u1ecdn, d\u1ec5 \u0111\u1ecdc<\/span><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">Ph\u1ee9c t\u1ea1p, kh\u00f3 \u0111\u1ecdc<\/span><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">Kh\u00f4ng d\u1ec5 s\u1eed d\u1ee5ng<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\"><strong>B\u1ed9 d\u1eef li\u1ec7u<\/strong><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">B\u1ed9 d\u1eef li\u1ec7u nh\u1ecf<\/span><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">B\u1ed9 d\u1eef li\u1ec7u l\u1edbn, hi\u1ec7u su\u1ea5t cao<\/span><\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">B\u1ed9 d\u1eef li\u1ec7u l\u1edbn, hi\u1ec7u su\u1ea5t cao<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><strong>Kh\u1ea3 n\u0103ng g\u1ee1 l\u1ed7i<\/strong><\/p>\n<\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">M\u1ea1ng \u0111\u01a1n gi\u1ea3n, hi\u1ebfm khi c\u1ea7n g\u1ee1 l\u1ed7i<\/span><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">C\u00f3 kh\u1ea3 n\u0103ng g\u1ee1 l\u1ed7i t\u1ed1t<\/span><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">Kh\u00f3 g\u1ee1 l\u1ed7i<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\"><strong>M\u00f4 h\u00ecnh Hu\u1ea5n luy\u1ec7n<\/strong><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">C\u00f3<\/span><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">C\u00f3<\/span><\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">C\u00f3<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><strong>\u0110\u1ed9 ph\u1ed5 bi\u1ebfn<\/strong><\/p>\n<\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">Ph\u1ed5 bi\u1ebfn nh\u1ea5t<\/span><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">Ph\u1ed5 bi\u1ebfn th\u1ee9 ba<\/span><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">Ph\u1ed5 bi\u1ebfn th\u1ee9 hai<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\"><strong>T\u1ed1c \u0111\u1ed9<\/strong><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">Ch\u1eadm, hi\u1ec7u su\u1ea5t th\u1ea5p<\/span><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">Nhanh, hi\u1ec7u su\u1ea5t cao<\/span><\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Nhanh, hi\u1ec7u su\u1ea5t cao<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><strong>Vi\u1ebft b\u1eb1ng<\/strong><\/p>\n<\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">Python<\/span><\/td>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">Lua<\/span><\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">C++, CUDA, Python<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">V\u1edbi tinh th\u1ea7n &#8220;ki\u1ebfn th\u1ee9c kh\u00f4ng bao gi\u1edd l\u00e0 \u0111\u1ee7&#8221; h\u00e3y c\u1ed1 g\u1eafng h\u1ecdc c\u00e1ch s\u1eed d\u1ee5ng c\u00e0ng nhi\u1ec1u framework c\u00e0ng t\u1ed1t. Cu\u1ed9c tranh lu\u1eadn gi\u1eefa Keras, PyTorch v\u00e0 TensorFlow c\u00e1i n\u00e0o t\u1ed1t nh\u1ea5t n\u00ean l\u00e0 \u0111\u1ed9ng l\u1ef1c \u0111\u1ec3 b\u1ea1n t\u00ecm hi\u1ec3u v\u1ec1 c\u1ea3 ba, hi\u1ec3u c\u00e1ch ch\u00fang gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 theo c\u00e1ch ri\u00eang.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">K\u1ebft lu\u1eadn ng\u1eafn g\u1ecdn v\u1ec1 vi\u1ec7c s\u1eed d\u1ee5ng PyTorch, TensorFlow v\u00e0 Keras:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">PyTorch: T\u1ed1t nh\u1ea5t cho nghi\u00ean c\u1ee9u v\u00e0 ph\u00e1t tri\u1ec3n nhanh ch\u00f3ng nh\u1edd t\u00ednh linh ho\u1ea1t v\u00e0 kh\u1ea3 n\u0103ng g\u1ee1 l\u1ed7i m\u1ea1nh m\u1ebd.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">TensorFlow: L\u00fd t\u01b0\u1edfng cho c\u00e1c d\u1ef1 \u00e1n l\u1edbn c\u1ea7n tri\u1ec3n khai m\u00f4 h\u00ecnh v\u00e0o s\u1ea3n xu\u1ea5t nh\u1edd kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng v\u00e0 c\u00f4ng c\u1ee5 ph\u1ee5c v\u1ee5 m\u1ea1nh m\u1ebd.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Keras: Th\u00edch h\u1ee3p cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u v\u00e0 c\u00e1c d\u1ef1 \u00e1n nh\u1ecf v\u1edbi giao di\u1ec7n \u0111\u01a1n gi\u1ea3n, d\u1ec5 s\u1eed d\u1ee5ng v\u00e0 h\u1ed7 tr\u1ee3 nhi\u1ec1u backend.<\/span><\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"TensorFlow_co_phai_la_ky_nang_can_thiet_trong_nganh_khoa_hoc_du_lieu\"><\/span><strong>TensorFlow c\u00f3 ph\u1ea3i l\u00e0 k\u1ef9 n\u0103ng c\u1ea7n thi\u1ebft trong ng\u00e0nh khoa h\u1ecdc d\u1eef li\u1ec7u?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Khi l\u0129nh v\u1ef1c khoa h\u1ecdc d\u1eef li\u1ec7u ng\u00e0y c\u00e0ng ph\u00e1t tri\u1ec3n, vi\u1ec7c l\u1ef1a ch\u1ecdn c\u00f4ng c\u1ee5 v\u00e0 k\u1ef9 thu\u1eadt\u00a0 c\u1ea7n \u0111\u01b0\u1ee3c xem x\u00e9t k\u1ef9 c\u00e0ng t\u00f9y thu\u1ed9c v\u00e0o nhu c\u1ea7u c\u1ee5 th\u1ec3 c\u1ee7a c\u00f4ng ty ho\u1eb7c d\u1ef1 \u00e1n. TensorFlow, m\u1ed9t th\u01b0 vi\u1ec7n m\u1ea1nh m\u1ebd d\u00e0nh cho c\u00e1c \u1ee9ng d\u1ee5ng deep learning, th\u01b0\u1eddng xu\u1ea5t hi\u1ec7n trong c\u00e1c cu\u1ed9c th\u1ea3o lu\u1eadn v\u1ec1 c\u00e1c k\u1ef9 n\u0103ng khoa h\u1ecdc d\u1eef li\u1ec7u thi\u1ebft y\u1ebfu. Tuy nhi\u00ean, \u0111i\u1ec1u quan tr\u1ecdng l\u00e0 ph\u1ea3i \u0111\u00e1nh gi\u00e1 xem vi\u1ec7c \u0111\u1ea7u t\u01b0 th\u1eddi gian v\u00e0 ngu\u1ed3n l\u1ef1c v\u00e0o vi\u1ec7c h\u1ecdc TensorFlow c\u00f3 th\u1ef1c s\u1ef1 c\u1ea7n thi\u1ebft \u0111\u1ed1i v\u1edbi h\u1ea7u h\u1ebft c\u00e1c nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u hay kh\u00f4ng.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">H\u00e3y c\u00f9ng \u0111i qua m\u1ed9t s\u1ed1 lu\u1eadn \u0111i\u1ec3m \u0111\u1ec3 tr\u1ea3 l\u1eddi c\u00e2u h\u1ecfi TensorFlow c\u00f3 c\u1ea7n thi\u1ebft kh\u00f4ng:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Tr\u1ecdng t\u00e2m c\u1ee7a khoa h\u1ecdc d\u1eef li\u1ec7u<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Vai tr\u00f2 c\u1ee7a d\u1eef li\u1ec7u l\u1edbn (Big Data)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Nh\u1eefng h\u1ea1n ch\u1ebf c\u1ee7a Deep Learning trong th\u1ebf gi\u1edbi th\u1ef1c<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">K\u1ebft lu\u1eadn d\u1ef1a tr\u00ean kinh nghi\u1ec7m c\u00e1 nh\u00e2n v\u00e0 nhu c\u1ea7u c\u1ee7a ng\u00e0nh<\/span><\/li>\n<\/ul>\n<h3><strong>Tr\u1ecdng t\u00e2m c\u1ee7a khoa h\u1ecdc d\u1eef li\u1ec7u<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">V\u1ec1 c\u1ed1t l\u00f5i, khoa h\u1ecdc d\u1eef li\u1ec7u l\u00e0 tr\u00edch xu\u1ea5t nh\u1eefng hi\u1ec3u bi\u1ebft s\u00e2u s\u1eafc v\u00e0 ki\u1ebfn th\u1ee9c t\u1eeb d\u1eef li\u1ec7u. \u0110i\u1ec1u n\u00e0y th\u01b0\u1eddng li\u00ean quan \u0111\u1ebfn s\u1ed1 li\u1ec7u th\u1ed1ng k\u00ea, ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u00e0 k\u1ef9 thu\u1eadt h\u1ecdc m\u00e1y ti\u00eau chu\u1ea9n h\u01a1n l\u00e0 h\u1ecdc s\u00e2u.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">C\u00e1c c\u00f4ng c\u1ee5 nh\u01b0 Python, R, SQL v\u00e0 c\u00e1c th\u01b0 vi\u1ec7n nh\u01b0 pandas v\u00e0 scikit-learn t\u1ea1o th\u00e0nh x\u01b0\u01a1ng s\u1ed1ng c\u1ee7a nhi\u1ec1u nhi\u1ec7m v\u1ee5 khoa h\u1ecdc d\u1eef li\u1ec7u. Nh\u1eefng c\u00f4ng c\u1ee5 n\u00e0y r\u1ea5t quan tr\u1ecdng \u0111\u1ec3 x\u1eed l\u00fd lo\u1ea1i m\u00f4 h\u00ecnh th\u1ed1ng k\u00ea v\u00e0 ph\u00e2n t\u00edch d\u1ef1 \u0111o\u00e1n th\u00fac \u0111\u1ea9y h\u1ea7u h\u1ebft c\u00e1c quy\u1ebft \u0111\u1ecbnh kinh doanh hi\u1ec7n nay.<\/span><\/p>\n<h3><strong>Vai tr\u00f2 c\u1ee7a d\u1eef li\u1ec7u l\u1edbn (Big Data)<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">\u0110\u1ed1i v\u1edbi nhi\u1ec1u nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u, \u0111\u1eb7c bi\u1ec7t l\u00e0 nh\u1eefng ng\u01b0\u1eddi l\u00e0m vi\u1ec7c trong c\u00e1c ng\u00e0nh x\u1eed l\u00fd l\u01b0\u1ee3ng d\u1eef li\u1ec7u kh\u1ed5ng l\u1ed3, c\u00e1c framework big data nh\u01b0 Apache Spark ho\u1eb7c Hadoop quan tr\u1ecdng h\u01a1n nhi\u1ec1u so v\u1edbi TensorFlow.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">V\u00ed d\u1ee5: Spark bao g\u1ed3m c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y nh\u01b0 h\u1ed3i quy tuy\u1ebfn t\u00ednh, random forests v\u00e0 h\u1ed3i quy logistic. Nh\u1eefng gi\u1ea3i ph\u00e1p n\u00e0y th\u01b0\u1eddng l\u00e0 \u0111\u00e3 \u0111\u1ee7 \u0111\u1ec3 gi\u1ea3i quy\u1ebft ph\u1ea7n l\u1edbn c\u00e1c v\u1ea5n \u0111\u1ec1 m\u00e0 c\u00e1c nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u v\u00e0 c\u00e1c doanh nghi\u1ec7p g\u1eb7p ph\u1ea3i.<\/span><\/p>\n<h3><strong>Nh\u1eefng h\u1ea1n ch\u1ebf c\u1ee7a Deep Learning trong th\u1ebf gi\u1edbi th\u1ef1c<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">H\u1ecdc s\u00e2u, \u1ee9ng d\u1ee5ng ch\u00ednh c\u1ee7a TensorFlow, li\u00ean quan \u0111\u1ebfn vi\u1ec7c x\u00e2y d\u1ef1ng v\u00e0 \u0111\u00e0o t\u1ea1o c\u00e1c m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh ph\u1ee9c t\u1ea1p. M\u1eb7c d\u00f9 c\u00e1c m\u00f4 h\u00ecnh n\u00e0y c\u00f3 th\u1ec3 c\u1ef1c k\u1ef3 m\u1ea1nh m\u1ebd nh\u01b0ng ch\u00fang c\u0169ng \u0111\u00f2i h\u1ecfi ngu\u1ed3n l\u1ef1c t\u00ednh to\u00e1n r\u1ea5t l\u1edbn v\u00e0 th\u1eddi gian \u0111\u00e0o t\u1ea1o r\u1ea5t l\u00e2u.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Trong nhi\u1ec1u ng\u00e0nh, nhu c\u1ea7u ph\u1ea3i th\u01b0\u1eddng xuy\u00ean c\u1eadp nh\u1eadt c\u00e1c m\u00f4 h\u00ecnh \u0111\u1ec3 theo k\u1ecbp d\u1eef li\u1ec7u m\u1edbi khi\u1ebfn th\u1eddi gian \u0111\u00e0o t\u1ea1o k\u00e9o d\u00e0i c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u tr\u1edf th\u00e0nh m\u1ed9t h\u1ea1n ch\u1ebf to l\u1edbn.\u00a0<\/span><\/p>\n<h3><strong>K\u1ebft lu\u1eadn <\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">T\u00f3m l\u1ea1i, t\u1eeb quan \u0111i\u1ec3m c\u00e1 nh\u00e2n, nhi\u1ec1u nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u nh\u1eadn th\u1ea5y r\u1eb1ng h\u1ecdc s\u00e2u kh\u00f4ng ph\u1ea3i l\u00e0 nhi\u1ec7m v\u1ee5 ch\u00ednh trong c\u00f4ng vi\u1ec7c h\u00e0ng ng\u00e0y c\u1ee7a h\u1ecd. Tr\u00ean th\u1ef1c t\u1ebf, trong nhi\u1ec1u d\u1ef1 \u00e1n, c\u00e1c ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc m\u00e1y truy\u1ec1n th\u1ed1ng ho\u1ea1t \u0111\u1ed9ng t\u1ed1t h\u01a1n c\u00e1c ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc s\u00e2u ho\u1eb7c ti\u1ebft ki\u1ec7m chi ph\u00ed h\u01a1n v\u00e0 tri\u1ec3n khai nhanh h\u01a1n.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">TensorFlow \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o t\u1ea1i nhi\u1ec1u tr\u01b0\u1eddng \u0111\u1ea1i h\u1ecdc l\u1edbn, nh\u01b0ng sau khi ra tr\u01b0\u1eddng th\u00ec kh\u00f4ng m\u1ea5y c\u1ea7n thi\u1ebft trong b\u1ed9 c\u00f4ng c\u1ee5 c\u1ee7a nhi\u1ec1u ng\u01b0\u1eddi l\u00e0m vi\u1ec7c trong ng\u00e0nh d\u1eef li\u1ec7u. Thay v\u00e0o \u0111\u00f3, hi\u1ec3u c\u00e1c nguy\u00ean t\u1eafc c\u1ee7a m\u00e1y h\u1ecdc v\u00e0 c\u00f3 kh\u1ea3 n\u0103ng \u00e1p d\u1ee5ng c\u00e1c thu\u1eadt to\u00e1n kh\u00e1c nhau m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3 s\u1ebd c\u00f3 l\u1ee3i h\u01a1n.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Cau_hoi_thuong_gap_ve_TensorFlow_la_gi\"><\/span><strong>C\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p v\u1ec1 TensorFlow l\u00e0 g\u00ec<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><strong>TensorFlow c\u00f3 ph\u1ea3i ch\u1ec9 h\u1ed7 tr\u1ee3 Python kh\u00f4ng?<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">M\u1eb7c d\u00f9 TensorFlow s\u1eed d\u1ee5ng <a href=\"https:\/\/itviec.com\/blog\/tai-lieu-lap-trinh-python\/\" target=\"_blank\" rel=\"noopener\">Python<\/a> l\u00e0m API ngo\u1ea1i vi \u0111\u1ec3 x\u00e2y d\u1ef1ng c\u00e1c \u1ee9ng d\u1ee5ng v\u1edbi framework, nh\u01b0ng n\u00f3 c\u0169ng h\u1ed7 tr\u1ee3 m\u1ed9t s\u1ed1 ng\u00f4n ng\u1eef bao g\u1ed3m C++ v\u00e0 Java.<\/span><\/p>\n<h3><strong>ChatGPT s\u1eed d\u1ee5ng framework PyTorch hay TensorFlow?<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Trong khi TensorFlow \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong t\u00ecm ki\u1ebfm c\u1ee7a Google v\u00e0 Uber, Pytorch h\u1ed7 tr\u1ee3 ChatGPT c\u1ee7a OpenAI v\u00e0 ch\u1ebf \u0111\u1ed9 l\u00e1i t\u1ef1 \u0111\u1ed9ng c\u1ee7a Tesla. Vi\u1ec7c l\u1ef1a ch\u1ecdn gi\u1eefa hai framework n\u00e0y l\u00e0 m\u1ed9t th\u00e1ch th\u1ee9c chung \u0111\u1ed1i v\u1edbi c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n. N\u1ebfu b\u1ea1n \u1edf v\u1ecb tr\u00ed l\u00e0 m\u1ed9t chuy\u00ean vi\u00ean khoa h\u1ecdc d\u1eef li\u1ec7u, b\u1ea1n c\u00f3 th\u1ec3 tham kh\u1ea3o th\u00eam <\/span><span style=\"font-weight: 400;\">b\u00e0i vi\u1ebft<\/span><span style=\"font-weight: 400;\">\u00a0<a href=\"https:\/\/www.freecodecamp.org\/news\/pytorch-vs-tensorflow-for-deep-learning-projects\/#:~:text=While%20TensorFlow%20is%20used%20in,you%20make%20an%20informed%20choice.\" target=\"_blank\" rel=\"noopener\">so s\u00e1nh TensorFlow v\u00e0 PyTorch<\/a> \u0111\u1ec3 \u0111\u01b0a ra l\u1ef1a ch\u1ecdn s\u00e1ng su\u1ed1t nh\u1ea5t.<\/span><\/p>\n<h3><strong>C\u00f3 nh\u1eefng ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc s\u00e2u n\u00e0o m\u00e0 TensorFlow c\u00f3 th\u1ec3 th\u1ef1c thi?<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">\u0110\u00e2y l\u00e0 m\u1ed9t ch\u1ee7 \u0111\u1ec1 r\u1ea5t th\u00fa v\u1ecb v\u00e0 th\u1ef1c ti\u1ec5n li\u00ean quan tr\u1ef1c ti\u1ebfp \u0111\u1ebfn qu\u00e1 tr\u00ecnh thi\u1ebft k\u1ebf c\u00e1c m\u00f4 h\u00ecnh m\u1ea1ng l\u01b0\u1edbi n\u01a1-ron th\u1ea7n kinh \u0111\u1ec3 gi\u1ea3i quy\u1ebft c\u00e1c b\u00e0i to\u00e1n kh\u00e1c nhau trong th\u1ef1c t\u1ebf.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">C\u00f3 3 thu\u1eadt to\u00e1n h\u1ecdc s\u00e2u n\u1ed5i ti\u1ebfng nh\u1ea5t bao g\u1ed3m:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Convolutional Neural Networks (CNNs): M\u1ea1ng chuy\u1ec3n \u0111\u1ed5i.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Long Short Term Memory Networks (LSTMs): M\u1ea1ng b\u1ed9 nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i h\u1ea1n.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Recurrent Neural Networks (RNNs): M\u1ea1ng h\u1ed3i quy.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Ngo\u00e0i ra tu\u1ef3 thu\u1ed9c v\u00e0o v\u1ea5n \u0111\u1ec1 m\u00e0 c\u00e1c d\u1ef1 \u00e1n c\u00f3 th\u1ec3 d\u00f9ng c\u00e1c lo\u1ea1i kh\u00e1c d\u01b0\u1edbi \u0111\u00e2y \u00edt n\u1ed5i ti\u1ebfng h\u01a1n:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Generative Adversarial Networks (GANs): M\u1ea1ng \u0111a nhi\u1ec7m<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Radial Basis Function Networks (RBFNs): M\u1ea1ng ch\u1ee9c n\u0103ng c\u01a1 s\u1edf<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Multilayer Perceptrons (MLPs): M\u1ea1ng nhi\u1ec1u l\u1edbp<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Self Organizing Maps (SOMs): M\u1ea1ng b\u1ea3n \u0111\u1ed3 t\u1ef1 s\u1eafp x\u1ebfp<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Deep Belief Networks (DBNs): M\u1ea1ng c\u1eadp nh\u1eadt<\/span><\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Tong_ket_TensorFlow_la_gi\"><\/span><strong>T\u1ed5ng k\u1ebft TensorFlow l\u00e0 g\u00ec<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">\u0110\u1ed1i v\u1edbi nh\u1eefng ng\u01b0\u1eddi mong mu\u1ed1n tham gia v\u00e0o l\u0129nh v\u1ef1c khoa h\u1ecdc d\u1eef li\u1ec7u v\u00e0 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o, \u0111i\u1ec1u quan tr\u1ecdng l\u00e0 ph\u1ea3i t\u1eadp trung v\u00e0o c\u00e1c k\u1ef9 n\u0103ng c\u00f3 th\u1ec3 \u00e1p d\u1ee5ng \u0111\u01b0\u1ee3c. Trang b\u1ecb c\u00e1c k\u1ef9 n\u0103ng khoa h\u1ecdc d\u1eef li\u1ec7u c\u01a1 b\u1ea3n, \u0111\u1ed3ng th\u1eddi m\u1edf r\u1ed9ng ph\u1ea1m vi hi\u1ec3u bi\u1ebft, bao g\u1ed3m c\u00e1c framework nh\u01b0 TensorFlow v\u00e0 c\u00e1c k\u1ef9 n\u0103ng kh\u00e1c ph\u00f9 h\u1ee3p v\u1edbi xu h\u01b0\u1edbng th\u1ecb tr\u01b0\u1eddng.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Hi v\u1ecdng b\u00e0i vi\u1ebft n\u00e0y s\u1ebd gi\u00fap <\/span><span style=\"font-weight: 400;\">b\u1ea1n hi\u1ec3u \u0111\u01b0\u1ee3c TensorFlow l\u00e0 g\u00ec, t\u1eeb \u0111\u00f3 \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh s\u00e1ng su\u1ed1t v\u1ec1 vi\u1ec7c \u0111\u1ea7u t\u01b0 n\u1ed7 l\u1ef1c h\u1ecdc t\u1eadp c\u1ee7a m\u00ecnh, \u0111\u1ea3m b\u1ea3o r\u1eb1ng ch\u00fang ph\u00f9 h\u1ee3p v\u1edbi m\u1ee5c ti\u00eau ngh\u1ec1 nghi\u1ec7p c\u1ee7a b\u1ea1n v\u00e0 nhu c\u1ea7u c\u1ee7a nh\u00e0 tuy\u1ec3n d\u1ee5ng.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>G\u1ea7n \u0111\u00e2y, tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) \u0111\u00e3 tr\u1edf th\u00e0nh tr\u1ecdng t\u00e2m trong c\u1ea3 nghi\u00ean c\u1ee9u h\u1ecdc thu\u1eadt v\u00e0 \u1ee9ng d\u1ee5ng c\u00f4ng nghi\u1ec7p. Khi m\u1ed1i quan t\u00e2m \u0111\u1ebfn AI ng\u00e0y c\u00e0ng t\u0103ng th\u00ec s\u1ef1 ch\u00fa \u00fd \u0111\u1ebfn TensorFlow &#8211; m\u1ed9t trong nh\u1eefng framework n\u1ed5i b\u1eadt nh\u1ea5t cho deep learning c\u0169ng t\u0103ng theo. B\u00e0i vi\u1ebft n\u00e0y [&hellip;]<\/p>\n","protected":false},"author":222,"featured_media":75183,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_gspb_post_css":"","footnotes":""},"categories":[109],"tags":[],"class_list":["post-74645","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-chuyen-mon-it"],"blocksy_meta":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.8 (Yoast SEO v27.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>TensorFlow l\u00e0 g\u00ec? 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