{"id":1333,"date":"2021-03-30T15:33:59","date_gmt":"2021-03-30T15:33:59","guid":{"rendered":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/?p=1333"},"modified":"2026-03-25T08:58:57","modified_gmt":"2026-03-25T01:58:57","slug":"neural-network-la-gi-vai-tro-va-ung-dung-cua-neural-network","status":"publish","type":"post","link":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/kien-thuc-kinh-te\/neural-network-la-gi-vai-tro-va-ung-dung-cua-neural-network","title":{"rendered":"Neural network l\u00e0 g\u00ec? Vai tr\u00f2 v\u00e0 \u1ee9ng d\u1ee5ng c\u1ee7a neural network"},"content":{"rendered":"\n

Neural network l\u00e0 g\u00ec?<\/strong> C\u00e1c th\u00e0nh ph\u1ea7n c\u0169ng nh\u01b0 \u1ee9ng d\u1ee5ng c\u1ee7a neural network l\u00e0 g\u00ec? N\u1ebfu b\u1ea1n c\u00f3 nh\u1eefng th\u1eafc m\u1eafc tr\u00ean th\u00ec d\u01b0\u1edbi \u0111\u00e2y l\u00e0 c\u00e2u tr\u1ea3 l\u1eddi d\u00e0nh cho b\u1ea1n.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
\n

T\u1ed5ng quan nhanh<\/strong><\/p>\n

\u2013 Neural network (m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o) l\u00e0 m\u00f4 h\u00ecnh t\u00ednh to\u00e1n m\u00f4 ph\u1ecfng c\u00e1ch ho\u1ea1t \u0111\u1ed9ng c\u1ee7a n\u00e3o ng\u01b0\u1eddi.<\/p>\n

\u2013 C\u1ea5u tr\u00fac g\u1ed3m 3 l\u1edbp: Input Layer, Hidden Layer(s) v\u00e0 Output Layer \u2014 k\u1ebft n\u1ed1i b\u1edfi c\u00e1c tr\u1ecdng s\u1ed1 (weights).<\/p>\n

\u2013 \u1ee8ng d\u1ee5ng r\u1ed9ng r\u00e3i: nh\u1eadn di\u1ec7n h\u00ecnh \u1ea3nh, x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLP), d\u1ef1 b\u00e1o t\u00e0i ch\u00ednh, xe t\u1ef1 l\u00e1i.<\/p>\n<\/div>\n\n\n\n

Neural network l\u00e0 g\u00ec?<\/strong><\/h2>\n\n\n\n

Neural network hay c\u00f2n g\u1ecdi l\u00e0 M\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o l\u00e0 m\u1ea1ng s\u1eed d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh to\u00e1n h\u1ecdc ph\u1ee9c t\u1ea1p \u0111\u1ec3 x\u1eed l\u00fd th\u00f4ng tin. Ch\u00fang d\u1ef1a tr\u00ean m\u00f4 h\u00ecnh ho\u1ea1t \u0111\u1ed9ng c\u1ee7a c\u00e1c t\u1ebf b\u00e0o th\u1ea7n kinh v\u00e0 kh\u1edbp th\u1ea7n kinh trong n\u00e3o c\u1ee7a con ng\u01b0\u1eddi. T\u01b0\u01a1ng t\u1ef1 nh\u01b0 b\u1ed9 n\u00e3o con ng\u01b0\u1eddi, m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o k\u1ebft n\u1ed1i c\u00e1c n\u00fat \u0111\u01a1n gi\u1ea3n, c\u00f2n \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 t\u1ebf b\u00e0o th\u1ea7n kinh. V\u00e0 m\u1ed9t t\u1eadp h\u1ee3p c\u00e1c n\u00fat nh\u01b0 v\u1eady t\u1ea1o th\u00e0nh m\u1ed9t m\u1ea1ng l\u01b0\u1edbi c\u00e1c n\u00fat, do \u0111\u00f3 c\u00f3 t\u00ean l\u00e0 m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o.<\/p>\n\n\n\n

T\u01b0\u01a1ng t\u1ef1 nh\u01b0 b\u1ed9 n\u00e3o con ng\u01b0\u1eddi, trong m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o, m\u1ed9t lo\u1ea1t c\u00e1c thu\u1eadt to\u00e1n \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh v\u00e0 nh\u1eadn ra c\u00e1c m\u1ed1i quan h\u1ec7 trong c\u00e1c t\u1eadp d\u1eef li\u1ec7u. M\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng tr\u00ean nhi\u1ec1u c\u00f4ng ngh\u1ec7 v\u00e0 \u1ee9ng d\u1ee5ng kh\u00e1c nhau nh\u01b0 tr\u00f2 ch\u01a1i \u0111i\u1ec7n t\u1eed, th\u1ecb gi\u00e1c m\u00e1y t\u00ednh, nh\u1eadn d\u1ea1ng gi\u1ecdng n\u00f3i, l\u1ecdc m\u1ea1ng x\u00e3 h\u1ed9i, d\u1ecbch t\u1ef1 \u0111\u1ed9ng v\u00e0 ch\u1ea9n \u0111o\u00e1n y t\u1ebf. \u0110\u00e1ng ng\u1ea1c nhi\u00ean l\u00e0 m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng cho c\u00e1c ho\u1ea1t \u0111\u1ed9ng truy\u1ec1n th\u1ed1ng v\u00e0 s\u00e1ng t\u1ea1o, nh\u01b0 h\u1ed9i h\u1ecda v\u00e0 ngh\u1ec7 thu\u1eadt.<\/p>\n\n\n\n

\u201cNeural network ph\u1ea3n \u00e1nh h\u00e0nh vi c\u1ee7a n\u00e3o ng\u01b0\u1eddi, cho ph\u00e9p c\u00e1c ch\u01b0\u01a1ng tr\u00ecnh m\u00e1y t\u00ednh nh\u1eadn ra c\u00e1c m\u1ed1i quan h\u1ec7 trong d\u1eef li\u1ec7u v\u00e0 gi\u1ea3i quy\u1ebft c\u00e1c v\u1ea5n \u0111\u1ec1 ph\u1ed5 bi\u1ebfn trong l\u0129nh v\u1ef1c AI, h\u1ecdc m\u00e1y (machine learning v\u00e0 h\u1ecdc s\u00e2u (deep learning).\u201d<\/p>\n\n\n\n

C\u00e1c th\u00e0nh ph\u1ea7n c\u1ee7a Neural network l\u00e0 g\u00ec?<\/strong><\/h2>\n\n\n\n

3 th\u00e0nh ph\u1ea7n ch\u1ee7 y\u1ebfu c\u1ee7a neural network bao g\u1ed3m:<\/p>\n\n\n\n

\n

L\u01b0u \u00fd:<\/strong> Neural network c\u1ea7n l\u01b0\u1ee3ng d\u1eef li\u1ec7u l\u1edbn v\u00e0 t\u00e0i nguy\u00ean t\u00ednh to\u00e1n cao \u0111\u1ec3 hu\u1ea5n luy\u1ec7n. V\u1edbi d\u1eef li\u1ec7u nh\u1ecf ho\u1eb7c b\u00e0i to\u00e1n \u0111\u01a1n gi\u1ea3n, c\u00e1c thu\u1eadt to\u00e1n truy\u1ec1n th\u1ed1ng (Decision Tree, Linear Regression) c\u00f3 th\u1ec3 hi\u1ec7u qu\u1ea3 h\u01a1n v\u00e0 d\u1ec5 gi\u1ea3i th\u00edch h\u01a1n.<\/p>\n<\/div>\n\n\n\n

–       L\u1edbp \u0111\u1ea7u v\u00e0o \u0111\u1ea1i di\u1ec7n cho c\u00e1c d\u1eef li\u1ec7u \u0111\u1ea7u v\u00e0o.<\/p>\n\n\n\n

–       L\u1edbp \u1ea9n \u0111\u1ea1i di\u1ec7n cho c\u00e1c n\u00fat trung gian ph\u00e2n chia kh\u00f4ng gian \u0111\u1ea7u v\u00e0o th\u00e0nh c\u00e1c v\u00f9ng c\u00f3 ranh gi\u1edbi (m\u1ec1m). N\u00f3 nh\u1eadn v\u00e0o m\u1ed9t t\u1eadp h\u1ee3p c\u00e1c \u0111\u1ea7u v\u00e0o c\u00f3 tr\u1ecdng s\u1ed1 v\u00e0 t\u1ea1o ra k\u1ebft qu\u1ea3 \u0111\u1ea7u ra th\u00f4ng qua m\u1ed9t ch\u1ee9c n\u0103ng k\u00edch ho\u1ea1t.<\/p>\n\n\n\n

–       L\u1edbp \u0111\u1ea7u ra \u0111\u1ea1i di\u1ec7n cho \u0111\u1ea7u ra c\u1ee7a m\u1ea1ng n\u01a1-ron.<\/p>\n\n\n\n

Neural network \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng trong nh\u1eadn di\u1ec7n barcode v\u00e0 OCR \u2014 t\u00ecm hi\u1ec3u th\u00eam v\u1ec1 barcode l\u00e0 g\u00ec<\/a> \u0111\u1ec3 n\u1eafm r\u00f5 h\u01a1n kh\u00e1i ni\u1ec7m li\u00ean quan.<\/p>\n\n\n\n

K\u1ef9 s\u01b0 AI\/ML chuy\u00ean v\u1ec1 neural network \u0111ang c\u00f3 nhu c\u1ea7u tuy\u1ec3n d\u1ee5ng cao \u2014 tham kh\u1ea3o t\u1ea1i chuy\u00ean m\u1ee5c vi\u1ec7c l\u00e0m CNTT \u2013 ph\u1ea7n m\u1ec1m<\/a> \u0111\u1ec3 h\u00ecnh dung r\u00f5 h\u01a1n nhu c\u1ea7u th\u1ecb tr\u01b0\u1eddng.<\/p>\n\n\n\n

C\u00e1c m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o c\u00f3 ho\u1ea1t \u0111\u1ed9ng kh\u00f4ng?<\/strong><\/h2>\n\n\n\n

Nh\u01b0 \u0111\u00e3 th\u1ea5y \u1edf m\u1ee5c th\u00e0nh ph\u1ea7n c\u1ee7a Neural network l\u00e0 g\u00ec, m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o s\u1eed d\u1ee5ng c\u00e1c l\u1edbp x\u1eed l\u00fd to\u00e1n h\u1ecdc kh\u00e1c nhau \u0111\u1ec3 hi\u1ec3u th\u00f4ng tin m\u00e0 n\u00f3 \u0111\u01b0\u1ee3c cung c\u1ea5p. Th\u00f4ng th\u01b0\u1eddng, m\u1ed9t m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o c\u00f3 t\u1eeb h\u00e0ng ch\u1ee5c \u0111\u1ebfn h\u00e0ng tri\u1ec7u n\u01a1-ron nh\u00e2n t\u1ea1o – \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 c\u00e1c \u0111\u01a1n v\u1ecb – \u0111\u01b0\u1ee3c s\u1eafp x\u1ebfp th\u00e0nh m\u1ed9t lo\u1ea1t c\u00e1c l\u1edbp. L\u1edbp \u0111\u1ea7u v\u00e0o nh\u1eadn c\u00e1c d\u1ea1ng th\u00f4ng tin kh\u00e1c nhau t\u1eeb th\u1ebf gi\u1edbi b\u00ean ngo\u00e0i. \u0110\u00e2y l\u00e0 d\u1eef li\u1ec7u m\u00e0 m\u1ea1ng nh\u1eafm \u0111\u1ebfn \u0111\u1ec3 x\u1eed l\u00fd ho\u1eb7c t\u00ecm hi\u1ec3u. T\u1eeb l\u1edbp \u0111\u1ea7u v\u00e0o, d\u1eef li\u1ec7u \u0111i qua m\u1ed9t ho\u1eb7c nhi\u1ec1u l\u1edbp \u1ea9n kh\u00e1c. C\u00f4ng vi\u1ec7c c\u1ee7a c\u00e1c l\u1edbp \u1ea9n l\u00e0 bi\u1ebfn \u0111\u1ea7u v\u00e0o th\u00e0nh th\u1ee9 m\u00e0 l\u1edbp \u0111\u1ea7u ra c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng.<\/p>\n\n\n\n

Ph\u1ea7n l\u1edbn c\u00e1c m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o \u0111\u01b0\u1ee3c k\u1ebft n\u1ed1i \u0111\u1ea7y \u0111\u1ee7 t\u1eeb l\u1edbp n\u00e0y sang l\u1edbp kh\u00e1c. C\u00e1c k\u1ebft n\u1ed1i n\u00e0y c\u00f3 tr\u1ecdng s\u1ed1; Con s\u1ed1 c\u00e0ng cao th\u00ec l\u1edbp n\u00e0y c\u00e0ng c\u00f3 \u1ea3nh h\u01b0\u1edfng l\u1edbn \u0111\u1ebfn l\u1edbp kh\u00e1c, t\u01b0\u01a1ng t\u1ef1 nh\u01b0 b\u1ed9 n\u00e3o con ng\u01b0\u1eddi. Khi d\u1eef li\u1ec7u \u0111i qua t\u1eebng l\u1edbp, m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o s\u1ebd t\u00ecm hi\u1ec3u th\u00eam v\u1ec1 d\u1eef li\u1ec7u. \u1ede ph\u00eda b\u00ean kia c\u1ee7a m\u1ea1ng l\u00e0 c\u00e1c l\u1edbp \u0111\u1ea7u ra, v\u00e0 \u0111\u00e2y l\u00e0 n\u01a1i \u0111\u01b0a ra k\u1ebft qu\u1ea3 t\u1eeb c\u00e1c d\u1eef li\u1ec7u ban \u0111\u1ea7u.<\/p>\n\n\n\n

C\u00e1c nh\u00e0 khoa h\u1ecdc v\u1ec1 th\u1ea7n kinh \u0111\u00e3 h\u1ecdc \u0111\u01b0\u1ee3c r\u1ea5t nhi\u1ec1u \u0111i\u1ec1u v\u1ec1 b\u1ed9 n\u00e3o con ng\u01b0\u1eddi k\u1ec3 t\u1eeb khi c\u00e1c nh\u00e0 khoa h\u1ecdc m\u00e1y t\u00ednh th\u1eed nghi\u1ec7m m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o l\u1ea7n \u0111\u1ea7u ti\u00ean. M\u1ed9t trong nh\u1eefng \u0111i\u1ec1u h\u1ecd h\u1ecdc \u0111\u01b0\u1ee3c l\u00e0 c\u00e1c ph\u1ea7n kh\u00e1c nhau c\u1ee7a n\u00e3o ch\u1ecbu tr\u00e1ch nhi\u1ec7m x\u1eed l\u00fd c\u00e1c kh\u00eda c\u1ea1nh th\u00f4ng tin kh\u00e1c nhau v\u00e0 c\u00e1c ph\u1ea7n n\u00e0y \u0111\u01b0\u1ee3c s\u1eafp x\u1ebfp theo th\u1ee9 b\u1eadc. V\u00ec v\u1eady, th\u00f4ng tin \u0111\u1ea7u v\u00e0o \u0111i v\u00e0o n\u00e3o v\u00e0 \u1edf m\u1ed7i c\u1ea5p \u0111\u1ed9 t\u1ebf b\u00e0o th\u00f4ng tin \u0111\u01b0\u1ee3c ph\u00e2n t\u00edch s\u00e2u s\u1eafc h\u01a1n. \u0110\u00f3 ch\u00ednh x\u00e1c l\u00e0 c\u01a1 ch\u1ebf m\u00e0 m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o \u0111ang c\u1ed1 g\u1eafng t\u00e1i t\u1ea1o.<\/p>\n\n\n\n

\u0110\u1ec3 m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o c\u00f3 th\u1ec3 h\u1ecdc \u0111\u01b0\u1ee3c, ch\u00fang c\u1ea7n ph\u1ea3i c\u00f3 m\u1ed9t l\u01b0\u1ee3ng l\u1edbn th\u00f4ng tin \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 t\u1eadp h\u1ee3p c\u00e1c c\u1eb7p d\u1eef li\u1ec7u \u0111\u1ea7u v\u00e0o v\u00e0 d\u1eef li\u1ec7u \u0111\u1ea7u ra \u0111\u1ec3 hu\u1ea5n luy\u1ec7n trong qu\u00e1 tr\u00ecnh m\u00e1y h\u1ecdc (training set). Khi b\u1ea1n \u0111ang c\u1ed1 g\u1eafng d\u1ea1y m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o c\u00e1ch ph\u00e2n bi\u1ec7t m\u00e8o v\u1edbi ch\u00f3, training set s\u1ebd cung c\u1ea5p h\u00e0ng ngh\u00ecn h\u00ecnh \u1ea3nh \u0111\u01b0\u1ee3c g\u1eafn th\u1ebb l\u00e0 ch\u00f3 \u0111\u1ec3 m\u1ea1ng n\u01a1-ron b\u1eaft \u0111\u1ea7u t\u00ecm hi\u1ec3u. Khi n\u00f3 \u0111\u00e3 \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n v\u1edbi l\u01b0\u1ee3ng d\u1eef li\u1ec7u \u0111\u00e1ng k\u1ec3, n\u00f3 s\u1ebd c\u1ed1 g\u1eafng ph\u00e2n lo\u1ea1i d\u1eef li\u1ec7u trong t\u01b0\u01a1ng lai d\u1ef1a tr\u00ean nh\u1eefng g\u00ec n\u00f3 cho r\u1eb1ng n\u00f3 \u0111ang nh\u00ecn th\u1ea5y (ho\u1eb7c nghe th\u1ea5y, t\u00f9y thu\u1ed9c v\u00e0o t\u1eadp d\u1eef li\u1ec7u) trong c\u00e1c l\u1edbp kh\u00e1c nhau.<\/p>\n\n\n\n

Trong th\u1eddi gian \u0111\u00e0o t\u1ea1o, \u0111\u1ea7u ra c\u1ee7a m\u00e1y \u0111\u01b0\u1ee3c so s\u00e1nh v\u1edbi m\u00f4 t\u1ea3 do con ng\u01b0\u1eddi cung c\u1ea5p v\u1ec1 nh\u1eefng g\u00ec c\u1ea7n quan s\u00e1t. N\u1ebfu ch\u00fang gi\u1ed1ng nhau, m\u00e1y \u0111\u00e3 \u0111\u01b0\u1ee3c x\u00e1c nh\u1eadn. N\u1ebfu kh\u00f4ng ch\u00ednh x\u00e1c, n\u00f3 s\u1eed d\u1ee5ng s\u1ef1 lan truy\u1ec1n ng\u01b0\u1ee3c \u0111\u1ec3 \u0111i\u1ec1u ch\u1ec9nh vi\u1ec7c h\u1ecdc c\u1ee7a n\u00f3 \u2014 quay tr\u1edf l\u1ea1i c\u00e1c l\u1edbp \u0111\u1ec3 \u0111i\u1ec1u ch\u1ec9nh ph\u01b0\u01a1ng tr\u00ecnh to\u00e1n h\u1ecdc. \u0110i\u1ec1u n\u00e0y \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 deep learning – l\u00e0 \u0111i\u1ec1u l\u00e0m cho m\u1ea1ng tr\u1edf n\u00ean th\u00f4ng minh.<\/p>\n\n\n\n

\n

L\u1eddi khuy\u00ean:<\/strong> B\u1eaft \u0111\u1ea7u h\u1ecdc neural network v\u1edbi Python v\u00e0 th\u01b0 vi\u1ec7n TensorFlow ho\u1eb7c PyTorch. N\u00ean n\u1eafm v\u1eefng to\u00e1n c\u01a1 b\u1ea3n (\u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh, gi\u1ea3i t\u00edch, x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea) tr\u01b0\u1edbc khi \u0111i s\u00e2u v\u00e0o ki\u1ebfn tr\u00fac m\u1ea1ng ph\u1ee9c t\u1ea1p.<\/p>\n<\/div>\n\n\n\n

C\u00e1c \u1ee9ng d\u1ee5ng c\u1ee7a m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o<\/strong><\/h2>\n\n\n\n

V\u1edbi s\u1ed1 l\u01b0\u1ee3ng l\u1edbn c\u00e1c \u1ee9ng d\u1ee5ng \u0111\u01b0\u1ee3c tri\u1ec3n khai m\u1ed7i ng\u00e0y, b\u00e2y gi\u1edd l\u00e0 th\u1eddi \u0111i\u1ec3m th\u00edch h\u1ee3p nh\u1ea5t \u0111\u1ec3 bi\u1ebft v\u1ec1 c\u00e1c \u1ee9ng d\u1ee5ng c\u1ee7a n\u01a1-ron nh\u00e2n t\u1ea1o, m\u00e1y h\u1ecdc v\u00e0 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o. M\u1ed9t s\u1ed1 trong s\u1ed1 ch\u00fang \u0111\u01b0\u1ee3c th\u1ea3o lu\u1eadn d\u01b0\u1edbi \u0111\u00e2y:<\/p>\n\n\n\n

Nh\u1eadn d\u1ea1ng ch\u1eef vi\u1ebft tay<\/strong><\/h3>\n\n\n\n

M\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 chuy\u1ec3n \u0111\u1ed5i c\u00e1c k\u00fd t\u1ef1 vi\u1ebft tay th\u00e0nh c\u00e1c k\u00fd t\u1ef1 k\u1ef9 thu\u1eadt s\u1ed1 m\u00e0 m\u00e1y c\u00f3 th\u1ec3 nh\u1eadn ra.<\/p>\n\n\n\n

D\u1ef1 \u0111o\u00e1n giao d\u1ecbch ch\u1ee9ng kho\u00e1n<\/strong><\/h3>\n\n\n\n

S\u00e0n giao d\u1ecbch ch\u1ee9ng kho\u00e1n kh\u00f3 theo d\u00f5i v\u00e0 kh\u00f3 hi\u1ec3u. Nhi\u1ec1u y\u1ebfu t\u1ed1 \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn th\u1ecb tr\u01b0\u1eddng ch\u1ee9ng kho\u00e1n. M\u1ed9t m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o c\u00f3 th\u1ec3 ki\u1ec3m tra nhi\u1ec1u y\u1ebfu t\u1ed1 v\u00e0 d\u1ef1 \u0111o\u00e1n gi\u00e1 h\u00e0ng ng\u00e0y, \u0111i\u1ec1u n\u00e0y s\u1ebd gi\u00fap \u00edch cho c\u00e1c nh\u00e0 m\u00f4i gi\u1edbi ch\u1ee9ng kho\u00e1n.<\/p>\n\n\n\n

V\u1ea5n \u0111\u1ec1 \u0111i l\u1ea1i c\u1ee7a c\u00e1c chuy\u00ean gia b\u00e1n h\u00e0ng<\/strong><\/h3>\n\n\n\n

Lo\u1ea1i n\u00e0y \u0111\u1ec1 c\u1eadp \u0111\u1ebfn vi\u1ec7c t\u00ecm ra m\u1ed9t con \u0111\u01b0\u1eddng t\u1ed1i \u01b0u \u0111\u1ec3 \u0111i l\u1ea1i gi\u1eefa c\u00e1c th\u00e0nh ph\u1ed1 trong m\u1ed9t khu v\u1ef1c c\u1ee5 th\u1ec3. M\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o gi\u00fap gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 mang l\u1ea1i doanh thu cao h\u01a1n v\u1edbi chi ph\u00ed t\u1ed1i thi\u1ec3u. C\u00e1c c\u00e2n nh\u1eafc v\u1ec1 m\u1eb7t h\u1eadu c\u1ea7n l\u00e0 r\u1ea5t l\u1edbn, v\u00e0 \u1edf \u0111\u00e2y ch\u00fang ta ph\u1ea3i t\u00ecm ra nh\u1eefng con \u0111\u01b0\u1eddng \u0111i l\u1ea1i t\u1ed1i \u01b0u cho c\u00e1c nh\u00e2n vi\u00ean b\u00e1n h\u00e0ng di chuy\u1ec3n t\u1eeb n\u01a1i n\u00e0y sang n\u01a1i kh\u00e1c.<\/p>\n\n\n\n

N\u00e9n h\u00ecnh \u1ea3nh<\/strong><\/h3>\n\n\n\n

\u00dd t\u01b0\u1edfng \u0111\u1eb1ng sau m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o n\u00e9n d\u1eef li\u1ec7u l\u00e0 l\u01b0u tr\u1eef, m\u00e3 h\u00f3a v\u00e0 t\u00e1i t\u1ea1o l\u1ea1i h\u00ecnh \u1ea3nh th\u1ef1c t\u1ebf. Ch\u00fang ta c\u00f3 th\u1ec3 t\u1ed1i \u01b0u h\u00f3a k\u00edch th\u01b0\u1edbc d\u1eef li\u1ec7u c\u1ee7a m\u00ecnh b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng m\u1ea1ng n\u01a1-ron n\u00e9n h\u00ecnh \u1ea3nh. N\u00f3 l\u00e0 \u1ee9ng d\u1ee5ng l\u00fd t\u01b0\u1edfng \u0111\u1ec3 ti\u1ebft ki\u1ec7m b\u1ed9 nh\u1edb v\u00e0 t\u1ed1i \u01b0u h\u00f3a n\u00f3.<\/p>\n\n\n\n

Hi v\u1ecdng v\u1edbi m\u1ed9t s\u1ed1 th\u00f4ng tin c\u01a1 b\u1ea3n v\u1ec1 neural network l\u00e0 g\u00ec, b\u1ea1n s\u1ebd c\u00f3 th\u00eam nhi\u1ec1u th\u00f4ng tin h\u1eefu \u00edch.<\/p>\n\n\n\n

Hu\u1ef3nh Tr\u00e2m<\/strong><\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Neural network l\u00e0 g\u00ec? C\u00e1c th\u00e0nh ph\u1ea7n c\u0169ng nh\u01b0 \u1ee9ng d\u1ee5ng c\u1ee7a neural network l\u00e0 g\u00ec? N\u1ebfu b\u1ea1n c\u00f3 nh\u1eefng th\u1eafc m\u1eafc tr\u00ean th\u00ec d\u01b0\u1edbi …<\/p>\n","protected":false},"author":58,"featured_media":14613,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1333","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-kien-thuc-kinh-te"],"_links":{"self":[{"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/posts\/1333","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/comments?post=1333"}],"version-history":[{"count":6,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/posts\/1333\/revisions"}],"predecessor-version":[{"id":14614,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/posts\/1333\/revisions\/14614"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/media\/14613"}],"wp:attachment":[{"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/media?parent=1333"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/categories?post=1333"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/tags?post=1333"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}