{"id":595,"date":"2026-08-03T04:46:04","date_gmt":"2026-08-03T04:46:04","guid":{"rendered":"https:\/\/test.affina.com.vn\/deep-learning-la-gi-huong-dan-toan-dien-cho-nguoi-moi-bat-dau\/"},"modified":"2026-08-03T04:46:04","modified_gmt":"2026-08-03T04:46:04","slug":"deep-learning-la-gi-huong-dan-toan-dien-cho-nguoi-moi-bat-dau","status":"publish","type":"post","link":"https:\/\/www.affina.com.vn\/ai\/deep-learning-la-gi-huong-dan-toan-dien-cho-nguoi-moi-bat-dau\/","title":{"rendered":"Deep Learning l\u00e0 g\u00ec? H\u01b0\u1edbng d\u1eabn to\u00e0n di\u1ec7n cho ng\u01b0\u1eddi m\u1edbi 2026"},"content":{"rendered":"

N\u0103m 2026, tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o kh\u00f4ng c\u00f2n l\u00e0 phim vi\u1ec5n t\u01b0\u1edfng m\u00e0 \u0111\u00e3 hi\u1ec7n di\u1ec7n trong m\u1ecdi ng\u00f3c ng\u00e1ch t\u1eeb chi\u1ebfc xe t\u1ef1 l\u00e1i \u0111\u1ebfn tr\u1ee3 l\u00fd \u1ea3o th\u00f4ng minh. Tuy nhi\u00ean, b\u1ea1n c\u00f3 bi\u1ebft “b\u1ed9 n\u00e3o” th\u1ef1c s\u1ef1 \u0111\u1ee9ng sau nh\u1eefng \u0111\u1ed9t ph\u00e1 n\u00e0y ch\u00ednh l\u00e0 Deep Learning? Nhi\u1ec1u ng\u01b0\u1eddi th\u01b0\u1eddng nh\u1ea7m l\u1eabn gi\u1eefa AI, Machine Learning v\u00e0 Deep Learning, d\u1eabn \u0111\u1ebfn kh\u00f3 kh\u0103n trong vi\u1ec7c ti\u1ebfp c\u1eadn c\u00f4ng ngh\u1ec7 n\u00e0y.<\/p>\n

Th\u1ef1c t\u1ebf, vi\u1ec7c hi\u1ec3u r\u00f5 Deep Learning l\u00e0 g\u00ec<\/strong> s\u1ebd gi\u00fap b\u1ea1n n\u1eafm b\u1eaft \u0111\u01b0\u1ee3c xu h\u01b0\u1edbng c\u00f4ng ngh\u1ec7 quan tr\u1ecdng nh\u1ea5t c\u1ee7a th\u1eadp k\u1ef7. B\u00e0i vi\u1ebft n\u00e0y s\u1ebd gi\u1ea3i m\u00e3 chi ti\u1ebft v\u1ec1 h\u1ecdc s\u00e2u, c\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng c\u1ee7a m\u1ea1ng th\u1ea7n kinh nh\u00e2n t\u1ea1o v\u00e0 l\u1ed9 tr\u00ecnh cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u. Ch\u00fang ta s\u1ebd c\u00f9ng kh\u00e1m ph\u00e1 t\u1ea1i sao c\u00f4ng ngh\u1ec7 n\u00e0y l\u1ea1i thay \u0111\u1ed5i th\u1ebf gi\u1edbi m\u1ea1nh m\u1ebd \u0111\u1ebfn v\u1eady trong n\u0103m 2026.<\/p>\n

\u0110\u1eb7c bi\u1ec7t, b\u1ea1n kh\u00f4ng c\u1ea7n ph\u1ea3i l\u00e0 m\u1ed9t gi\u00e1o s\u01b0 to\u00e1n h\u1ecdc \u0111\u1ec3 hi\u1ec3u nh\u1eefng kh\u00e1i ni\u1ec7m c\u01a1 b\u1ea3n b\u00ean d\u01b0\u1edbi. H\u00e3y coi Deep Learning nh\u01b0 m\u1ed9t c\u00e1ch \u0111\u1ec3 m\u00e1y t\u00ednh h\u1ecdc h\u1ecfi t\u1eeb kinh nghi\u1ec7m, t\u01b0\u01a1ng t\u1ef1 nh\u01b0 c\u00e1ch con ng\u01b0\u1eddi ch\u00fang ta tr\u01b0\u1edfng th\u00e0nh. C\u1ee5 th\u1ec3 h\u01a1n, ch\u00fang ta s\u1ebd \u0111i s\u00e2u v\u00e0o t\u1eebng l\u1edbp c\u1ea5u t\u1ea1o c\u1ee7a “b\u1ed9 n\u00e3o” nh\u00e2n t\u1ea1o n\u00e0y ngay sau \u0111\u00e2y.<\/p>\n

1. Deep Learning l\u00e0 g\u00ec? H\u01b0\u1edbng d\u1eabn to\u00e0n di\u1ec7n cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u<\/h2>\n

Deep Learning (H\u1ecdc s\u00e2u) l\u00e0 m\u1ed9t nh\u00e1nh chuy\u00ean s\u00e2u c\u1ee7a Machine Learning d\u1ef1a tr\u00ean c\u1ea5u tr\u00fac m\u1ea1ng th\u1ea7n kinh nh\u00e2n t\u1ea1o. Thay v\u00ec c\u1ea7n con ng\u01b0\u1eddi ch\u1ec9 d\u1eabn t\u1eebng b\u01b0\u1edbc, c\u00e1c thu\u1eadt to\u00e1n n\u00e0y c\u00f3 kh\u1ea3 n\u0103ng t\u1ef1 h\u1ecdc h\u1ecfi t\u1eeb l\u01b0\u1ee3ng d\u1eef li\u1ec7u kh\u1ed5ng l\u1ed3. Nh\u00ecn chung, n\u00f3 m\u00f4 ph\u1ecfng c\u00e1ch c\u00e1c t\u1ebf b\u00e0o th\u1ea7n kinh trong n\u00e3o ng\u01b0\u1eddi truy\u1ec1n d\u1eabn v\u00e0 x\u1eed l\u00fd th\u00f4ng tin.<\/p>\n

\"Deep
Deep Learning l\u00e0 g\u00ec? H\u01b0\u1edbng d\u1eabn to\u00e0n di\u1ec7n cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u<\/figcaption><\/figure>\n

\u0110\u1ec3 d\u1ec5 h\u00ecnh dung, b\u1ea1n h\u00e3y t\u01b0\u1edfng t\u01b0\u1ee3ng h\u1ec7 sinh th\u00e1i tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o nh\u01b0 m\u1ed9t b\u1ed9 b\u00fap b\u00ea Nga Matryoshka. Trong \u0111\u00f3, AI l\u00e0 con b\u00fap b\u00ea l\u1edbn nh\u1ea5t bao qu\u00e1t m\u1ecdi th\u1ee9 li\u00ean quan \u0111\u1ebfn tr\u00ed th\u00f4ng minh m\u00e1y t\u00ednh. Machine Learning l\u00e0 con b\u00fap b\u00ea n\u1eb1m b\u00ean trong, t\u1eadp trung v\u00e0o c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc t\u1eeb d\u1eef li\u1ec7u. Cu\u1ed1i c\u00f9ng, Deep Learning ch\u00ednh l\u00e0 con b\u00fap b\u00ea nh\u1ecf nh\u1ea5t nh\u01b0ng m\u1ea1nh m\u1ebd nh\u1ea5t \u1edf l\u00f5i.<\/p>\n

T\u1ea1i sao Deep Learning b\u00f9ng n\u1ed5 m\u1ea1nh m\u1ebd v\u00e0o n\u0103m 2026?<\/h3>\n

S\u1ef1 b\u00f9ng n\u1ed5 c\u1ee7a Deep Learning trong n\u0103m 2026 kh\u00f4ng ph\u1ea3i l\u00e0 ng\u1eabu nhi\u00ean. \u0110\u1ea7u ti\u00ean, ch\u00fang ta \u0111ang s\u1ed1ng trong k\u1ef7 nguy\u00ean Big Data v\u1edbi l\u01b0\u1ee3ng th\u00f4ng tin kh\u1ed5ng l\u1ed3 \u0111\u01b0\u1ee3c t\u1ea1o ra m\u1ed7i gi\u00e2y. C\u00e1c m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u c\u1ef1c k\u1ef3 “kh\u00e1t” d\u1eef li\u1ec7u, v\u00e0 l\u01b0\u1ee3ng d\u1eef li\u1ec7u n\u00e0y ch\u00ednh l\u00e0 ngu\u1ed3n nhi\u00ean li\u1ec7u qu\u00fd gi\u00e1 \u0111\u1ec3 ch\u00fang tr\u1edf n\u00ean th\u00f4ng minh h\u01a1n.<\/p>\n

Th\u1ee9 hai, s\u1ee9c m\u1ea1nh t\u00ednh to\u00e1n v\u01b0\u1ee3t tr\u1ed9i t\u1eeb c\u00e1c chip GPU v\u00e0 TPU th\u1ebf h\u1ec7 m\u1edbi \u0111\u00e3 thay \u0111\u1ed5i cu\u1ed9c ch\u01a1i. Nh\u1eefng b\u1ed9 vi x\u1eed l\u00fd n\u00e0y cho ph\u00e9p th\u1ef1c hi\u1ec7n h\u00e0ng t\u1ef7 ph\u00e9p t\u00ednh ph\u1ee9c t\u1ea1p trong th\u1eddi gian ng\u1eafn. V\u00ec v\u1eady, c\u00e1c m\u00f4 h\u00ecnh m\u00e0 tr\u01b0\u1edbc \u0111\u00e2y m\u1ea5t c\u1ea3 th\u00e1ng \u0111\u1ec3 hu\u1ea5n luy\u1ec7n th\u00ec nay ch\u1ec9 c\u1ea7n v\u00e0i gi\u1edd. \u0110i\u1ec1u n\u00e0y gi\u00fap vi\u1ec7c \u1ee9ng d\u1ee5ng Deep Learning v\u00e0o th\u1ef1c t\u1ebf tr\u1edf n\u00ean kh\u1ea3 thi v\u00e0 r\u1ebb h\u01a1n bao gi\u1edd h\u1ebft.<\/p>\n

Ngo\u00e0i ra, s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a c\u00e1c khung ph\u1ea7n m\u1ec1m m\u00e3 ngu\u1ed3n m\u1edf c\u0169ng \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng. Hi\u1ec7n nay, b\u1ea5t k\u1ef3 ai c\u0169ng c\u00f3 th\u1ec3 ti\u1ebfp c\u1eadn c\u00e1c c\u00f4ng c\u1ee5 m\u1ea1nh m\u1ebd \u0111\u1ec3 x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh AI c\u1ee7a ri\u00eang m\u00ecnh. B\u1ea1n c\u00f3 th\u1ec3 t\u00ecm hi\u1ec3u th\u00eam v\u1ec1 \u0111\u1ecbnh ngh\u0129a chuy\u00ean s\u00e2u t\u1ea1i Wikipedia v\u1ec1 H\u1ecdc s\u00e2u \u0111\u1ec3 c\u00f3 c\u00e1i nh\u00ecn \u0111a chi\u1ec1u h\u01a1n.<\/p>\n

2. S\u1ef1 kh\u00e1c bi\u1ec7t gi\u1eefa Deep Learning v\u00e0 Machine Learning truy\u1ec1n th\u1ed1ng<\/h2>\n

\u0110i\u1ec3m kh\u00e1c bi\u1ec7t l\u1edbn nh\u1ea5t n\u1eb1m \u1edf kh\u1ea3 n\u0103ng t\u1ef1 tr\u00edch xu\u1ea5t \u0111\u1eb7c tr\u01b0ng (Feature Engineering). Trong Machine Learning truy\u1ec1n th\u1ed1ng, c\u00e1c chuy\u00ean gia ph\u1ea3i t\u1ef1 tay l\u1ef1a ch\u1ecdn c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m quan tr\u1ecdng c\u1ee7a d\u1eef li\u1ec7u \u0111\u1ec3 m\u00e1y t\u00ednh h\u1ecdc. V\u00ed d\u1ee5, \u0111\u1ec3 nh\u1eadn di\u1ec7n m\u1ed9t chi\u1ebfc xe, b\u1ea1n ph\u1ea3i d\u1ea1y m\u00e1y t\u00ednh v\u1ec1 b\u00e1nh xe, \u0111\u00e8n pha v\u00e0 h\u00ecnh d\u00e1ng khung xe.<\/p>\n

\"S\u1ef1
S\u1ef1 kh\u00e1c bi\u1ec7t gi\u1eefa Deep Learning v\u00e0 Machine Learning truy\u1ec1n th\u1ed1ng<\/figcaption><\/figure>\n

Ng\u01b0\u1ee3c l\u1ea1i, Deep Learning ho\u00e0n to\u00e0n t\u1ef1 \u0111\u1ed9ng h\u00f3a qu\u00e1 tr\u00ecnh n\u00e0y. B\u1ea1n ch\u1ec9 c\u1ea7n \u0111\u01b0a h\u00e0ng tri\u1ec7u b\u1ee9c \u1ea3nh xe h\u01a1i v\u00e0o h\u1ec7 th\u1ed1ng, v\u00e0 m\u1ea1ng th\u1ea7n kinh s\u1ebd t\u1ef1 kh\u00e1m ph\u00e1 ra c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m nh\u1eadn d\u1ea1ng. Tuy nhi\u00ean, kh\u1ea3 n\u0103ng n\u00e0y \u0111\u00f2i h\u1ecfi m\u1ed9t l\u01b0\u1ee3ng d\u1eef li\u1ec7u \u0111\u1ea7u v\u00e0o c\u1ef1c k\u1ef3 l\u1edbn \u0111\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c \u0111\u1ed9 ch\u00ednh x\u00e1c mong mu\u1ed1n.<\/p>\n

Quy m\u00f4 d\u1eef li\u1ec7u v\u00e0 hi\u1ec7u su\u1ea5t<\/h3>\n

Th\u1ef1c t\u1ebf cho th\u1ea5y Machine Learning truy\u1ec1n th\u1ed1ng th\u01b0\u1eddng \u0111\u1ea1t ng\u01b0\u1ee1ng b\u00e3o h\u00f2a v\u1ec1 hi\u1ec7u su\u1ea5t sau m\u1ed9t th\u1eddi gian. \u0110i\u1ec1u n\u00e0y c\u00f3 ngh\u0129a l\u00e0 d\u00f9 b\u1ea1n c\u00f3 th\u00eam bao nhi\u00eau d\u1eef li\u1ec7u, m\u00f4 h\u00ecnh c\u0169ng kh\u00f4ng th\u00f4ng minh th\u00eam \u0111\u01b0\u1ee3c bao nhi\u00eau. Ng\u01b0\u1ee3c l\u1ea1i, Deep Learning c\u00e0ng c\u00f3 nhi\u1ec1u d\u1eef li\u1ec7u th\u00ec \u0111\u1ed9 ch\u00ednh x\u00e1c c\u00e0ng t\u0103ng cao, g\u1ea7n nh\u01b0 kh\u00f4ng c\u00f3 gi\u1edbi h\u1ea1n.<\/p>\n

B\u00ean c\u1ea1nh \u0111\u00f3, y\u00eau c\u1ea7u v\u1ec1 ph\u1ea7n c\u1ee9ng c\u1ee7a hai c\u00f4ng ngh\u1ec7 n\u00e0y c\u0169ng r\u1ea5t kh\u00e1c bi\u1ec7t. Machine Learning c\u00f3 th\u1ec3 ch\u1ea1y t\u1ed1t tr\u00ean c\u00e1c m\u00e1y t\u00ednh v\u0103n ph\u00f2ng th\u00f4ng th\u01b0\u1eddng. Trong khi \u0111\u00f3, Deep Learning \u0111\u00f2i h\u1ecfi c\u00e1c m\u00e1y ch\u1ee7 chuy\u00ean d\u1ee5ng v\u1edbi card \u0111\u1ed3 h\u1ecda m\u1ea1nh m\u1ebd \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c l\u1edbp m\u1ea1ng th\u1ea7n kinh ph\u1ee9c t\u1ea1p.<\/p>\n

D\u01b0\u1edbi \u0111\u00e2y l\u00e0 b\u1ea3ng so s\u00e1nh chi ti\u1ebft \u0111\u1ec3 b\u1ea1n d\u1ec5 d\u00e0ng ph\u00e2n bi\u1ec7t:<\/p>\n\n\n\n\n\n\n\n\n
Ti\u00eau ch\u00ed<\/th>\nMachine Learning<\/th>\nDeep Learning<\/th>\n<\/tr>\n<\/thead>\n
D\u1eef li\u1ec7u \u0111\u1ea7u v\u00e0o<\/td>\nD\u1eef li\u1ec7u c\u00f3 c\u1ea5u tr\u00fac, quy m\u00f4 v\u1eeba<\/td>\nD\u1eef li\u1ec7u phi c\u1ea5u tr\u00fac, quy m\u00f4 kh\u1ed5ng l\u1ed3<\/td>\n<\/tr>\n
Tr\u00edch xu\u1ea5t \u0111\u1eb7c tr\u01b0ng<\/td>\nCon ng\u01b0\u1eddi th\u1ef1c hi\u1ec7n th\u1ee7 c\u00f4ng<\/td>\nM\u00e1y t\u1ef1 \u0111\u1ed9ng th\u1ef1c hi\u1ec7n<\/td>\n<\/tr>\n
Th\u1eddi gian hu\u1ea5n luy\u1ec7n<\/td>\nV\u00e0i ph\u00fat \u0111\u1ebfn v\u00e0i gi\u1edd<\/td>\nV\u00e0i ng\u00e0y \u0111\u1ebfn v\u00e0i tu\u1ea7n<\/td>\n<\/tr>\n
Y\u00eau c\u1ea7u ph\u1ea7n c\u1ee9ng<\/td>\nCPU th\u00f4ng th\u01b0\u1eddng<\/td>\nGPU\/TPU hi\u1ec7u n\u0103ng cao<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

3. C\u1ea5u tr\u00fac m\u1ea1ng th\u1ea7n kinh nh\u00e2n t\u1ea1o (Neural Networks) v\u00e0 c\u01a1 ch\u1ebf ho\u1ea1t \u0111\u1ed9ng<\/h2>\n

M\u1ea1ng th\u1ea7n kinh nh\u00e2n t\u1ea1o l\u00e0 x\u01b0\u01a1ng s\u1ed1ng c\u1ee7a Deep Learning. C\u1ea5u tr\u00fac n\u00e0y bao g\u1ed3m h\u00e0ng ngh\u00ecn, th\u1eadm ch\u00ed h\u00e0ng tri\u1ec7u \u0111\u01a1n v\u1ecb x\u1eed l\u00fd nh\u1ecf \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 “neuron”. C\u00e1c neuron n\u00e0y \u0111\u01b0\u1ee3c s\u1eafp x\u1ebfp theo c\u00e1c l\u1edbp kh\u00e1c nhau \u0111\u1ec3 x\u1eed l\u00fd th\u00f4ng tin t\u1eeb \u0111\u01a1n gi\u1ea3n \u0111\u1ebfn ph\u1ee9c t\u1ea1p. C\u1ee5 th\u1ec3, m\u1ed9t m\u1ea1ng th\u1ea7n kinh c\u01a1 b\u1ea3n g\u1ed3m ba th\u00e0nh ph\u1ea7n ch\u00ednh.<\/p>\n

\"C\u1ea5u
C\u1ea5u tr\u00fac m\u1ea1ng th\u1ea7n kinh nh\u00e2n t\u1ea1o (Neural Networks) v\u00e0 c\u01a1 ch\u1ebf ho\u1ea1t \u0111\u1ed9ng<\/figcaption><\/figure>\n

\u0110\u1ea7u ti\u00ean l\u00e0 l\u1edbp \u0111\u1ea7u v\u00e0o (Input Layer), n\u01a1i ti\u1ebfp nh\u1eadn d\u1eef li\u1ec7u th\u00f4 nh\u01b0 pixel \u1ea3nh ho\u1eb7c t\u00edn hi\u1ec7u \u00e2m thanh. Ti\u1ebfp theo l\u00e0 c\u00e1c l\u1edbp \u1ea9n (Hidden Layers), n\u01a1i c\u00e1c ph\u00e9p t\u00ednh to\u00e1n h\u1ecdc ph\u1ee9c t\u1ea1p di\u1ec5n ra \u0111\u1ec3 t\u00ecm ki\u1ebfm quy lu\u1eadt. Cu\u1ed1i c\u00f9ng l\u00e0 l\u1edbp \u0111\u1ea7u ra (Output Layer), \u0111\u01b0a ra k\u1ebft qu\u1ea3 d\u1ef1 \u0111o\u00e1n cu\u1ed1i c\u00f9ng cho ng\u01b0\u1eddi d\u00f9ng.<\/p>\n

Kh\u00e1i ni\u1ec7m “Deep” v\u00e0 s\u1ee9c m\u1ea1nh c\u1ee7a c\u00e1c l\u1edbp \u1ea9n<\/h3>\n

T\u1ea1i sao ch\u00fang ta l\u1ea1i g\u1ecdi c\u00f4ng ngh\u1ec7 n\u00e0y l\u00e0 “s\u00e2u”? Thu\u1eadt ng\u1eef n\u00e0y \u00e1m ch\u1ec9 s\u1ed1 l\u01b0\u1ee3ng c\u00e1c l\u1edbp \u1ea9n trong m\u1ea1ng th\u1ea7n kinh. M\u1ed9t m\u1ea1ng th\u1ea7n kinh truy\u1ec1n th\u1ed1ng ch\u1ec9 c\u00f3 2-3 l\u1edbp, nh\u01b0ng c\u00e1c m\u00f4 h\u00ecnh Deep Learning hi\u1ec7n nay c\u00f3 th\u1ec3 c\u00f3 h\u00e0ng tr\u0103m l\u1edbp. Ch\u00ednh \u0111\u1ed9 s\u00e2u n\u00e0y cho ph\u00e9p m\u00e1y t\u00ednh hi\u1ec3u \u0111\u01b0\u1ee3c nh\u1eefng kh\u00e1i ni\u1ec7m c\u1ef1c k\u1ef3 tr\u1eebu t\u01b0\u1ee3ng.<\/p>\n

V\u00ed d\u1ee5, trong vi\u1ec7c nh\u1eadn di\u1ec7n khu\u00f4n m\u1eb7t, l\u1edbp \u0111\u1ea7u ti\u00ean c\u00f3 th\u1ec3 ch\u1ec9 nh\u1eadn di\u1ec7n c\u00e1c \u0111\u01b0\u1eddng k\u1ebb \u0111\u01a1n gi\u1ea3n. L\u1edbp ti\u1ebfp theo s\u1ebd k\u1ebft h\u1ee3p c\u00e1c \u0111\u01b0\u1eddng k\u1ebb \u0111\u1ec3 nh\u1eadn ra m\u1eaft, m\u0169i, mi\u1ec7ng. C\u00e1c l\u1edbp s\u00e2u h\u01a1n n\u1eefa s\u1ebd hi\u1ec3u \u0111\u01b0\u1ee3c to\u00e0n b\u1ed9 khu\u00f4n m\u1eb7t v\u00e0 th\u1eadm ch\u00ed l\u00e0 c\u1ea3m x\u00fac c\u1ee7a ng\u01b0\u1eddi \u0111\u00f3. C\u00e0ng nhi\u1ec1u l\u1edbp, kh\u1ea3 n\u0103ng t\u01b0 duy c\u1ee7a m\u00e1y t\u00ednh c\u00e0ng tr\u1edf n\u00ean tinh vi h\u01a1n.<\/p>\n

C\u01a1 ch\u1ebf Lan truy\u1ec1n ng\u01b0\u1ee3c (Backpropagation)<\/h3>\n

L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 m\u1ea1ng th\u1ea7n kinh bi\u1ebft m\u00ecnh \u0111ang l\u00e0m sai v\u00e0 t\u1ef1 s\u1eeda l\u1ed7i? C\u00e2u tr\u1ea3 l\u1eddi n\u1eb1m \u1edf c\u01a1 ch\u1ebf Lan truy\u1ec1n ng\u01b0\u1ee3c (Backpropagation). Khi m\u00f4 h\u00ecnh \u0111\u01b0a ra m\u1ed9t d\u1ef1 \u0111o\u00e1n sai, h\u1ec7 th\u1ed1ng s\u1ebd t\u00ednh to\u00e1n kho\u1ea3ng c\u00e1ch gi\u1eefa k\u1ebft qu\u1ea3 sai v\u00e0 k\u1ebft qu\u1ea3 \u0111\u00fang. Sau \u0111\u00f3, n\u00f3 s\u1ebd truy\u1ec1n th\u00f4ng tin n\u00e0y ng\u01b0\u1ee3c l\u1ea1i t\u1eeb l\u1edbp \u0111\u1ea7u ra v\u1ec1 l\u1edbp \u0111\u1ea7u v\u00e0o.<\/p>\n

Qu\u00e1 tr\u00ecnh n\u00e0y gi\u00fap \u0111i\u1ec1u ch\u1ec9nh c\u00e1c “tr\u1ecdng s\u1ed1” (weights) gi\u1eefa c\u00e1c neuron. B\u1ea1n c\u00f3 th\u1ec3 hi\u1ec3u tr\u1ecdng s\u1ed1 nh\u01b0 m\u1ee9c \u0111\u1ed9 quan tr\u1ecdng c\u1ee7a m\u1ed9t th\u00f4ng tin n\u00e0o \u0111\u00f3. Qua h\u00e0ng tri\u1ec7u l\u1ea7n l\u1eb7p l\u1ea1i, c\u00e1c tr\u1ecdng s\u1ed1 \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a \u0111\u1ec3 gi\u1ea3m thi\u1ec3u sai s\u1ed1 xu\u1ed1ng m\u1ee9c th\u1ea5p nh\u1ea5t. \u0110\u00e2y ch\u00ednh l\u00e0 c\u00e1ch m\u00e0 m\u00e1y t\u00ednh th\u1ef1c s\u1ef1 “h\u1ecdc” t\u1eeb nh\u1eefng sai l\u1ea7m c\u1ee7a ch\u00ednh n\u00f3.<\/p>\n

4. \u01afu v\u00e0 nh\u01b0\u1ee3c \u0111i\u1ec3m c\u1ee7a Deep Learning khi tri\u1ec3n khai th\u1ef1c t\u1ebf<\/h2>\n

\u01afu \u0111i\u1ec3m n\u1ed5i b\u1eadt nh\u1ea5t c\u1ee7a Deep Learning ch\u00ednh l\u00e0 \u0111\u1ed9 ch\u00ednh x\u00e1c v\u01b0\u1ee3t tr\u1ed9i. \u0110\u1eb7c bi\u1ec7t trong c\u00e1c t\u00e1c v\u1ee5 x\u1eed l\u00fd d\u1eef li\u1ec7u phi c\u1ea5u tr\u00fac nh\u01b0 h\u00ecnh \u1ea3nh, \u00e2m thanh v\u00e0 v\u0103n b\u1ea3n t\u1ef1 nhi\u00ean, n\u00f3 kh\u00f4ng c\u00f3 \u0111\u1ed1i th\u1ee7. Kh\u1ea3 n\u0103ng t\u1ef1 th\u00edch nghi gi\u00fap c\u00e1c m\u00f4 h\u00ecnh n\u00e0y ho\u1ea1t \u0111\u1ed9ng hi\u1ec7u qu\u1ea3 ngay c\u1ea3 khi m\u00f4i tr\u01b0\u1eddng d\u1eef li\u1ec7u thay \u0111\u1ed5i li\u00ean t\u1ee5c.<\/p>\n

Tuy nhi\u00ean, Deep Learning kh\u00f4ng ph\u1ea3i l\u00e0 chi\u1ebfc \u0111\u0169a th\u1ea7n cho m\u1ecdi b\u00e0i to\u00e1n. Nh\u01b0\u1ee3c \u0111i\u1ec3m l\u1edbn nh\u1ea5t l\u00e0 n\u00f3 y\u00eau c\u1ea7u l\u01b0\u1ee3ng d\u1eef li\u1ec7u kh\u1ed5ng l\u1ed3 \u0111\u1ec3 hu\u1ea5n luy\u1ec7n th\u00e0nh c\u00f4ng. N\u1ebfu doanh nghi\u1ec7p c\u1ee7a b\u1ea1n ch\u1ec9 c\u00f3 v\u00e0i tr\u0103m b\u1ea3n ghi d\u1eef li\u1ec7u, vi\u1ec7c s\u1eed d\u1ee5ng Deep Learning c\u00f3 th\u1ec3 g\u00e2y l\u00e3ng ph\u00ed t\u00e0i nguy\u00ean m\u00e0 kh\u00f4ng mang l\u1ea1i k\u1ebft qu\u1ea3 t\u1ed1t.<\/p>\n

B\u00ean c\u1ea1nh \u0111\u00f3, chi ph\u00ed h\u1ea1 t\u1ea7ng v\u00e0 v\u1eadn h\u00e0nh c\u0169ng l\u00e0 m\u1ed9t r\u00e0o c\u1ea3n l\u1edbn. Vi\u1ec7c duy tr\u00ec c\u00e1c h\u1ec7 th\u1ed1ng m\u00e1y ch\u1ee7 GPU \u0111\u1eaft \u0111\u1ecf \u0111\u00f2i h\u1ecfi ngu\u1ed3n ng\u00e2n s\u00e1ch kh\u00f4ng nh\u1ecf. M\u1ed9t v\u1ea5n \u0111\u1ec1 nan gi\u1ea3i kh\u00e1c l\u00e0 t\u00ednh ch\u1ea5t “H\u1ed9p \u0111en” (Black Box). Ch\u00fang ta bi\u1ebft m\u00f4 h\u00ecnh \u0111\u01b0a ra k\u1ebft qu\u1ea3 \u0111\u00fang, nh\u01b0ng \u0111\u00f4i khi r\u1ea5t kh\u00f3 \u0111\u1ec3 gi\u1ea3i th\u00edch t\u1ea1i sao n\u00f3 l\u1ea1i \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh \u0111\u00f3.<\/p>\n

Nh\u00ecn chung, t\u1eeb g\u00f3c nh\u00ecn doanh nghi\u1ec7p, b\u1ea1n c\u1ea7n c\u00e2n nh\u1eafc k\u1ef9 b\u00e0i to\u00e1n chi ph\u00ed \u0111\u1ea7u t\u01b0 (ROI). Deep Learning mang l\u1ea1i gi\u00e1 tr\u1ecb \u0111\u1ed9t ph\u00e1 nh\u01b0ng ch\u1ec9 khi \u0111\u01b0\u1ee3c \u00e1p d\u1ee5ng v\u00e0o \u0111\u00fang v\u1ea5n \u0111\u1ec1 v\u00e0 c\u00f3 \u0111\u1ee7 ngu\u1ed3n l\u1ef1c. \u0110\u00f4i khi, m\u1ed9t thu\u1eadt to\u00e1n Machine Learning \u0111\u01a1n gi\u1ea3n l\u1ea1i mang l\u1ea1i hi\u1ec7u qu\u1ea3 kinh t\u1ebf cao h\u01a1n cho c\u00e1c d\u1ef1 \u00e1n quy m\u00f4 nh\u1ecf.<\/p>\n

5. \u1ee8ng d\u1ee5ng c\u1ee7a Deep Learning 2026 v\u00e0 xu h\u01b0\u1edbng t\u01b0\u01a1ng lai<\/h2>\n

\u0110\u1ebfn n\u0103m 2026, Deep Learning \u0111\u00e3 th\u00e2m nh\u1eadp s\u00e2u v\u00e0o l\u0129nh v\u1ef1c y t\u1ebf. C\u00e1c h\u1ec7 th\u1ed1ng AI c\u00f3 kh\u1ea3 n\u0103ng ch\u1ea9n \u0111o\u00e1n h\u00ecnh \u1ea3nh X-quang, MRI v\u1edbi \u0111\u1ed9 ch\u00ednh x\u00e1c cao h\u01a1n c\u1ea3 b\u00e1c s\u0129 chuy\u00ean khoa. \u0110\u1eb7c bi\u1ec7t, c\u00f4ng ngh\u1ec7 n\u00e0y c\u00f2n gi\u00fap c\u00e1 nh\u00e2n h\u00f3a ph\u00e1c \u0111\u1ed3 \u0111i\u1ec1u tr\u1ecb d\u1ef1a tr\u00ean b\u1ea3n \u0111\u1ed3 gen c\u1ee7a t\u1eebng b\u1ec7nh nh\u00e2n. \u0110i\u1ec1u n\u00e0y m\u1edf ra k\u1ef7 nguy\u00ean m\u1edbi cho y h\u1ecdc ch\u00ednh x\u00e1c.<\/p>\n

S\u1ef1 k\u1ebft h\u1ee3p gi\u1eefa Deep Learning v\u00e0 Generative AI c\u0169ng t\u1ea1o ra nh\u1eefng b\u01b0\u1edbc ngo\u1eb7t l\u1edbn. Hi\u1ec7n nay, vi\u1ec7c t\u1ea1o ra c\u00e1c video 3D ch\u1ea5t l\u01b0\u1ee3ng \u0111i\u1ec7n \u1ea3nh hay m\u00f4i tr\u01b0\u1eddng th\u1ef1c t\u1ebf \u1ea3o ch\u1ec9 t\u1eeb v\u00e0i d\u00f2ng m\u00f4 t\u1ea3 \u0111\u00e3 tr\u1edf n\u00ean ph\u1ed5 bi\u1ebfn. Nh\u1eefng n\u1ed9i dung \u0111a ph\u01b0\u01a1ng ti\u1ec7n n\u00e0y ch\u00e2n th\u1ef1c \u0111\u1ebfn m\u1ee9c m\u1eaft th\u01b0\u1eddng kh\u00f3 l\u00f2ng ph\u00e2n bi\u1ec7t \u0111\u01b0\u1ee3c \u0111\u00e2u l\u00e0 th\u1eadt, \u0111\u00e2u l\u00e0 do AI t\u1ea1o ra.<\/p>\n

M\u1ed9t xu h\u01b0\u1edbng \u0111\u00e1ng ch\u00fa \u00fd kh\u00e1c ch\u00ednh l\u00e0 Edge AI. Thay v\u00ec g\u1eedi d\u1eef li\u1ec7u v\u1ec1 c\u00e1c m\u00e1y ch\u1ee7 \u0111\u00e1m m\u00e2y (cloud), Deep Learning hi\u1ec7n nay c\u00f3 th\u1ec3 ch\u1ea1y tr\u1ef1c ti\u1ebfp tr\u00ean c\u00e1c thi\u1ebft b\u1ecb IoT nh\u1ecf g\u1ecdn. V\u00ed d\u1ee5, chi\u1ebfc \u0111\u1ed3ng h\u1ed3 th\u00f4ng minh c\u1ee7a b\u1ea1n c\u00f3 th\u1ec3 t\u1ef1 ph\u00e2n t\u00edch nh\u1ecbp tim v\u00e0 c\u1ea3nh b\u00e1o \u0111\u1ed9t qu\u1ef5 ngay l\u1eadp t\u1ee9c m\u00e0 kh\u00f4ng c\u1ea7n k\u1ebft n\u1ed1i internet. \u0110i\u1ec1u n\u00e0y gi\u00fap t\u0103ng t\u00ednh b\u1ea3o m\u1eadt v\u00e0 gi\u1ea3m \u0111\u1ed9 tr\u1ec5 cho ng\u01b0\u1eddi d\u00f9ng.<\/p>\n

Trong t\u01b0\u01a1ng lai, c\u00e1c nh\u00e0 khoa h\u1ecdc \u0111ang h\u01b0\u1edbng t\u1edbi s\u1ef1 minh b\u1ea1ch h\u01a1n (Explainable AI). M\u1ee5c ti\u00eau l\u00e0 l\u00e0m cho c\u00e1c m\u00f4 h\u00ecnh “h\u1ed9p \u0111en” tr\u1edf n\u00ean d\u1ec5 hi\u1ec3u h\u01a1n v\u1edbi con ng\u01b0\u1eddi. \u0110\u1ed3ng th\u1eddi, vi\u1ec7c ph\u00e1t tri\u1ec3n c\u00e1c thu\u1eadt to\u00e1n ti\u1ebft ki\u1ec7m n\u0103ng l\u01b0\u1ee3ng c\u0169ng l\u00e0 \u01b0u ti\u00ean h\u00e0ng \u0111\u1ea7u \u0111\u1ec3 b\u1ea3o v\u1ec7 m\u00f4i tr\u01b0\u1eddng trong k\u1ef7 nguy\u00ean s\u1ed1.<\/p>\n

B\u1ea1n mu\u1ed1n t\u00ecm hi\u1ec3u th\u00eam v\u1ec1 AI v\u00e0 c\u00f4ng ngh\u1ec7? H\u00e3y theo d\u00f5i website \u0111\u1ec3 c\u1eadp nh\u1eadt nh\u1eefng b\u00e0i vi\u1ebft m\u1edbi nh\u1ea5t.<\/p>\n

C\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p (FAQ)<\/h3>\n
    \n
  • Deep Learning c\u00f3 c\u1ea7n nhi\u1ec1u d\u1eef li\u1ec7u kh\u00f4ng?<\/strong> C\u00f3, Deep Learning c\u1ea7n l\u01b0\u1ee3ng d\u1eef li\u1ec7u r\u1ea5t l\u1edbn \u0111\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c \u0111\u1ed9 ch\u00ednh x\u00e1c cao nh\u1ea5t so v\u1edbi c\u00e1c ph\u01b0\u01a1ng ph\u00e1p kh\u00e1c.<\/li>\n
  • T\u00f4i c\u00f3 c\u1ea7n gi\u1ecfi to\u00e1n \u0111\u1ec3 h\u1ecdc Deep Learning?<\/strong> B\u1ea1n c\u1ea7n n\u1eafm v\u1eefng ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh v\u00e0 x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea \u0111\u1ec3 hi\u1ec3u s\u00e2u v\u1ec1 thu\u1eadt to\u00e1n.<\/li>\n
  • Deep Learning kh\u00e1c g\u00ec v\u1edbi AI?<\/strong> AI l\u00e0 kh\u00e1i ni\u1ec7m r\u1ed9ng nh\u1ea5t, c\u00f2n Deep Learning l\u00e0 m\u1ed9t k\u1ef9 thu\u1eadt chuy\u00ean s\u00e2u n\u1eb1m trong AI.<\/li>\n
  • Ph\u1ea7n c\u1ee9ng n\u00e0o t\u1ed1t nh\u1ea5t cho Deep Learning n\u0103m 2026?<\/strong> C\u00e1c d\u00f2ng card \u0111\u1ed3 h\u1ecda NVIDIA th\u1ebf h\u1ec7 m\u1edbi ho\u1eb7c c\u00e1c b\u1ed9 vi x\u1eed l\u00fd chuy\u00ean d\u1ee5ng TPU c\u1ee7a Google l\u00e0 l\u1ef1a ch\u1ecdn h\u00e0ng \u0111\u1ea7u.<\/li>\n
  • T\u1ea1i sao Deep Learning \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 “h\u1ed9p \u0111en”?<\/strong> V\u00ec c\u1ea5u tr\u00fac b\u00ean trong qu\u00e1 ph\u1ee9c t\u1ea1p, khi\u1ebfn con ng\u01b0\u1eddi kh\u00f3 gi\u1ea3i th\u00edch logic c\u1ee5 th\u1ec3 \u0111\u1eb1ng sau m\u1ed7i quy\u1ebft \u0111\u1ecbnh c\u1ee7a m\u00e1y.<\/li>\n<\/ul>\n

    T\u1ed5ng k\u1ebft:<\/strong> Deep Learning l\u00e0 n\u1ec1n t\u1ea3ng c\u1ed1t l\u00f5i c\u1ee7a cu\u1ed9c c\u00e1ch m\u1ea1ng AI n\u0103m 2026. M\u1eb7c d\u00f9 \u0111\u00f2i h\u1ecfi t\u00e0i nguy\u00ean l\u1edbn v\u00e0 d\u1eef li\u1ec7u kh\u1ed5ng l\u1ed3, nh\u01b0ng kh\u1ea3 n\u0103ng gi\u1ea3i quy\u1ebft c\u00e1c v\u1ea5n \u0111\u1ec1 ph\u1ee9c t\u1ea1p c\u1ee7a n\u00f3 l\u00e0 kh\u00f4ng th\u1ec3 thay th\u1ebf. T\u1eeb y t\u1ebf, gi\u1ea3i tr\u00ed \u0111\u1ebfn s\u1ea3n xu\u1ea5t, h\u1ecdc s\u00e2u \u0111ang \u0111\u1ecbnh h\u00ecnh l\u1ea1i c\u00e1ch ch\u00fang ta s\u1ed1ng v\u00e0 l\u00e0m vi\u1ec7c.<\/p>\n

    B\u1ea1n \u0111\u00e3 s\u1eb5n s\u00e0ng b\u1eaft \u0111\u1ea7u h\u00e0nh tr\u00ecnh chinh ph\u1ee5c Deep Learning? H\u00e3y tham gia c\u1ed9ng \u0111\u1ed3ng AI c\u1ee7a ch\u00fang t\u00f4i \u0111\u1ec3 c\u1eadp nh\u1eadt nh\u1eefng ki\u1ebfn th\u1ee9c m\u1edbi nh\u1ea5t ngay h\u00f4m nay!<\/p>\n","protected":false},"excerpt":{"rendered":"

    N\u0103m 2026, tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o kh\u00f4ng c\u00f2n l\u00e0 phim vi\u1ec5n t\u01b0\u1edfng m\u00e0 \u0111\u00e3 hi\u1ec7n di\u1ec7n trong m\u1ecdi ng\u00f3c ng\u00e1ch t\u1eeb chi\u1ebfc xe t\u1ef1 l\u00e1i \u0111\u1ebfn tr\u1ee3 l\u00fd \u1ea3o th\u00f4ng minh.<\/p>\n","protected":false},"author":1,"featured_media":591,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_genseo_seo_title":"Deep Learning l\u00e0 g\u00ec? H\u01b0\u1edbng d\u1eabn to\u00e0n di\u1ec7n cho ng\u01b0\u1eddi m\u1edbi 2026","_genseo_meta_desc":"B\u1ea1n mu\u1ed1n bi\u1ebft Deep Learning l\u00e0 g\u00ec? Kh\u00e1m ph\u00e1 h\u01b0\u1edbng d\u1eabn to\u00e0n di\u1ec7n v\u1ec1 h\u1ecdc s\u00e2u, m\u1ea1ng th\u1ea7n kinh v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng \u0111\u1ed9t ph\u00e1 c\u1ee7a Deep Learning trong n\u0103m 2026 ngay.","_genseo_focus_keyword":"Deep Learning l\u00e0 g\u00ec? H\u01b0\u1edbng d\u1eabn to\u00e0n di\u1ec7n cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u","_genseo_secondary_keywords":["Deep Learning l\u00e0 g\u00ec","M\u1ea1ng th\u1ea7n kinh nh\u00e2n t\u1ea1o","Ph\u00e2n bi\u1ec7t Machine Learning v\u00e0 Deep Learning","\u1ee8ng d\u1ee5ng c\u1ee7a Deep Learning 2026","H\u1ecdc s\u00e2u","Neural Networks","Ki\u1ebfn tr\u00fac Deep Learning"],"_genseo_og_image":"","_genseo_og_image_id":591,"_genseo_schema_type":"HowTo","_genseo_canonical_url":"","_genseo_robots":"index","_genseo_source":"genseo-desktop","_genseo_source_video":"","_genseo_search_intent":"informational","_genseo_word_count":2260,"_genseo_reading_time":12,"_genseo_published_at":"","_genseo_kwplan_id":"","_genseo_kwplan_item_id":"","_genseo_rewritten_at":"","_genseo_rewrite_version":0,"_genseo_rewrite_source":"","_genseo_original_word_count":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-595","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-chua-phan-loai"],"_links":{"self":[{"href":"https:\/\/www.affina.com.vn\/ai\/wp-json\/wp\/v2\/posts\/595","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.affina.com.vn\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.affina.com.vn\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.affina.com.vn\/ai\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.affina.com.vn\/ai\/wp-json\/wp\/v2\/comments?post=595"}],"version-history":[{"count":0,"href":"https:\/\/www.affina.com.vn\/ai\/wp-json\/wp\/v2\/posts\/595\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.affina.com.vn\/ai\/wp-json\/wp\/v2\/media\/591"}],"wp:attachment":[{"href":"https:\/\/www.affina.com.vn\/ai\/wp-json\/wp\/v2\/media?parent=595"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.affina.com.vn\/ai\/wp-json\/wp\/v2\/categories?post=595"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.affina.com.vn\/ai\/wp-json\/wp\/v2\/tags?post=595"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}