{"id":9316,"date":"2023-10-23T16:24:44","date_gmt":"2023-10-23T09:24:44","guid":{"rendered":"https:\/\/teky.edu.vn\/blog\/?p=9316"},"modified":"2023-10-30T08:24:48","modified_gmt":"2023-10-30T01:24:48","slug":"tensorflow-la-gi-2","status":"publish","type":"post","link":"https:\/\/teky.edu.vn\/blog\/tensorflow-la-gi-2\/","title":{"rendered":"Tensorflow l\u00e0 g\u00ec? T\u1ea1i sao b\u1ea1n n\u00ean s\u1eed d\u1ee5ng Tensorflow?"},"content":{"rendered":"\n\n
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\n 5\/5 - (10 b\u00ecnh ch\u1ecdn) <\/div>\n <\/div>\n

S\u1ef1 b\u00f9ng n\u1ed5 c\u1ee7a tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o k\u00e9o theo nhu c\u1ea7u h\u1ecdc h\u1ecfi v\u1ec1 machine learning v\u00e0 deep learning t\u0103ng v\u1ecdt. C\u00e1c t\u00e0i li\u1ec7u v\u1ec1 l\u0129nh v\u1ef1c n\u00e0y \u0111\u01b0\u1ee3c ph\u1ed5 bi\u1ebfn r\u1ed9ng r\u00e3i h\u01a1n. C\u00f9ng v\u1edbi \u0111\u00f3 c\u00f3 kh\u00f4ng \u00edt c\u00f4ng c\u1ee5 h\u1ed7 tr\u1ee3 cho machine learning \u0111\u01b0\u1ee3c t\u1ea1o ra. M\u1ed9t trong s\u1ed1 \u0111\u00f3 l\u00e0 Tensorflow – ph\u1ea7n m\u1ec1m n\u1ed5i ti\u1ebfng \u0111\u01b0\u1ee3c s\u00e1ng t\u1ea1o b\u1edfi t\u1eadp \u0111o\u00e0n to\u00e0n c\u1ea7u Google. V\u1eady Tensorflow l\u00e0 g\u00ec<\/strong>? Li\u1ec7u n\u00f3 mang \u0111\u1ebfn nh\u1eefng ch\u1ee9c n\u0103ng g\u00ec ph\u1ee5c v\u1ee5 cho vi\u1ec7c h\u1ed7 tr\u1ee3 machine learning? H\u00e3y c\u00f9ng theo d\u00f5i b\u00e0i vi\u1ebft d\u01b0\u1edbi \u0111\u00e2y c\u1ee7a Teky \u0111\u1ec3 \u0111\u01b0\u1ee3c nh\u1eadn c\u00e2u tr\u1ea3 l\u1eddi.<\/em><\/p>\n

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N\u1ed9i dung <\/p>\nToggle<\/span><\/path><\/svg><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n

  • T\u00ecm hi\u1ec3u Tensorflow l\u00e0 g\u00ec?<\/a>
    • Kh\u00e1i ni\u1ec7m Tensorflow l\u00e0 g\u00ec?<\/a><\/li>
    • Tensorflow ho\u1ea1t \u0111\u1ed9ng nh\u01b0 th\u1ebf n\u00e0o?<\/a><\/li><\/ul><\/li>
    • C\u00e1c th\u00e0nh ph\u1ea7n trong Tensorflow l\u00e0 g\u00ec?<\/a>
      • C\u00e1c tensor<\/a><\/li>
      • Bi\u1ec3u \u0111\u1ed3<\/a><\/li><\/ul><\/li>
      • L\u00fd do b\u1ea1n n\u00ean s\u1eed d\u1ee5ng Tensorflow l\u00e0 g\u00ec?<\/a>
        • Mang \u0111\u1ebfn g\u00f3c nh\u00ecn kh\u00e1ch quan<\/a><\/li>
        • Ch\u1ec9nh s\u1eeda d\u1eef li\u1ec7u d\u1ec5 d\u00e0ng<\/a><\/li>
        • Ti\u1ec1m n\u0103ng ph\u00e1t tri\u1ec3n m\u1ea1nh m\u1ebd<\/a><\/li><\/ul><\/li>
        • K\u1ebft lu\u1eadn<\/a><\/li>
        • T\u00ecm Hi\u1ec3u Teky H\u1ecdc Vi\u1ec7n C\u00f4ng Ngh\u1ec7 Tr\u1ebb H\u00e0ng \u0110\u1ea7u Vi\u1ec7t Nam<\/a>
            • \u0110\u00e2y l\u00e0 ch\u01b0\u01a1ng tr\u00ecnh kh\u00f4ng ch\u1ec9 trang b\u1ecb ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh m\u00e0 c\u00f2n r\u00e8n luy\u1ec7n nh\u00f3m k\u1ef9 n\u0103ng 4Cs. Tr\u1ebb s\u1ebd \u0111\u01b0\u1ee3c:<\/a><\/li><\/ul><\/li>
            • Li\u00ean h\u1ec7 ngay h\u1ecdc vi\u1ec7n c\u00f4ng ngh\u1ec7 s\u00e1ng t\u1ea1o TEKY \u0111\u1ec3 \u0111\u01b0\u1ee3c t\u01b0 v\u1ea5n kh\u00f3a h\u1ecdc:<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n

              <\/span>T\u00ecm hi\u1ec3u Tensorflow l\u00e0 g\u00ec?<\/span><\/h2>\n
              \"Tensorflow
              Tensorflow h\u1ed7 tr\u1ee3 r\u1ea5t nhi\u1ec1u trong machine learning<\/figcaption><\/figure>\n

              <\/span>Kh\u00e1i ni\u1ec7m Tensorflow l\u00e0 g\u00ec?<\/span><\/h3>\n

              Tensorflow<\/strong> l\u00e0 m\u1ed9t \u1ee9ng d\u1ee5ng m\u00e3 ngu\u1ed3n m\u1edf \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n b\u1edfi Google v\u00e0o n\u0103m 2015. Tensorflow \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng nh\u01b0 m\u1ed9t framework v\u1edbi ch\u1ee9c n\u0103ng ch\u00ednh l\u00e0 t\u00ednh to\u00e1n machine learning v\u1edbi quy m\u00f4 l\u1edbn. Google cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 t\u1ef1 do ph\u00e1t tri\u1ec3n m\u1ed9t phi\u00ean b\u1ea3n Tensorflow c\u1ee7a ri\u00eang m\u00ecnh m\u00e0 kh\u00f4ng c\u1ea7n tr\u1ea3 th\u00eam b\u1ea5t k\u1ef3 kho\u1ea3n ph\u00ed n\u00e0o.<\/p>\n

              M\u1ee5c \u0111\u00edch ch\u00ednh c\u1ee7a Google khi t\u1ea1o ra Tensorflow l\u00e0 \u0111\u1ec3 c\u1ea3i thi\u1ec7n d\u1ecbch v\u1ee5 b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng deep learning. Sau \u0111\u00f3, h\u1ecd nh\u1eadn th\u1ea5y r\u1eb1ng n\u00f3 h\u1eefu \u00edch v\u00e0 c\u00f3 nhi\u1ec1u ti\u1ec1m n\u0103ng h\u01a1n khi \u0111\u01b0\u1ee3c nh\u1eefng ng\u01b0\u1eddi c\u00f3 nhu c\u1ea7u c\u1ea3i ti\u1ebfn. V\u00ec th\u1ebf n\u00ean, Tensorflow \u0111\u01b0\u1ee3c c\u00f4ng khai th\u00e0nh m\u1ed9t ph\u1ea7n m\u1ec1m m\u00e3 ngu\u1ed3n m\u1edf. Hi\u1ec7n t\u1ea1i, Tensorflow ho\u1ea1t \u0111\u1ed9ng theo r\u1ea5t nhi\u1ec1u c\u00e1ch kh\u00e1c nhau. L\u1ee3i \u00edch n\u00f3 \u0111em l\u1ea1i c\u0169ng r\u1ea5t \u0111a d\u1ea1ng.<\/p>\n

              \"dang-ky-lap-trinh\"<\/a><\/p>\n

              >>> Xem th\u00eam : Giao th\u1ee9c HTTP l\u00e0 g\u00ec? 3 \u0111\u1eb7c \u0111i\u1ec3m l\u1edbn c\u1ee7a HTTP b\u1ea1n c\u1ea7n bi\u1ebft<\/span><\/a><\/p>\n

              Tensorflow<\/strong> v\u1ed1n \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n t\u1eeb 2 ph\u1ea7n l\u00e0 Tensor v\u00e0 Flow. V\u1eady \u0111\u1ea7u ti\u00ean, Tensor l\u00e0 g\u00ec? Tensor l\u00e0 \u0111\u01a1n v\u1ecb t\u00ednh c\u01a1 b\u1ea3n trong deep learning. Nhi\u1ec7m v\u1ee5 c\u1ee7a n\u00f3 l\u00e0 l\u01b0u tr\u1eef c\u00e1c d\u1eef li\u1ec7u numeric. Google s\u1eed d\u1ee5ng t\u00ean g\u1ecdi Tensorflow l\u00e0 v\u00ec m\u1ee5c \u0111\u00edch mu\u1ed1n truy\u1ec1n t\u1ea3i c\u1ee5m t\u1eeb \u201cc\u00e1c tensor \u0111\u01b0\u1ee3c t\u00ednh to\u00e1n theo flow\u201d.<\/p>\n

              Tensorflow \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n d\u1ef1a tr\u00ean ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh Python. Tensorflow cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng t\u1ea1o l\u1eadp m\u1ed9t bi\u1ec3u \u0111\u1ed3 \u0111\u1ec3 th\u1ef1c hi\u1ec7n c\u00e1c ph\u00e9p t\u00ednh to\u00e1n. C\u00e1c ph\u00e9p to\u00e1n v\u00e0 d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c th\u1ec3 hi\u1ec7n m\u1ed9t c\u00e1ch tr\u1ef1c quan gi\u00fap ng\u01b0\u1eddi d\u00f9ng nhanh ch\u00f3ng th\u1ef1c hi\u1ec7n \u0111\u01b0\u1ee3c c\u00e1c thu\u1eadt to\u00e1n m\u00e0 kh\u00f4ng c\u1ea7n lo \u0111\u1ebfn t\u00ednh ph\u00f9 h\u1ee3p. B\u1eb1ng c\u00e1ch logic h\u00f3a nh\u01b0 v\u1eady, nh\u00e0 ph\u00e1t tri\u1ec3n c\u00f3 th\u1ec3 t\u1eadp trung xem x\u00e9t v\u1ea5n \u0111\u1ec1 v\u1edbi c\u00e1i nh\u00ecn kh\u00e1ch quan nh\u1ea5t m\u00e0 kh\u00f4ng c\u1ea7n b\u1eadn t\u00e2m \u0111\u1ebfn nh\u1eefng chi ti\u1ebft nh\u1ecf nh\u1eb7t.<\/p>\n