{"id":34863,"date":"2024-08-12T14:56:11","date_gmt":"2024-08-12T07:56:11","guid":{"rendered":"http:\/\/jupitek.maudemo.vip\/index.php\/2024\/08\/12\/an-overview-of-deep-learning-frameworks\/"},"modified":"2024-08-12T14:56:11","modified_gmt":"2024-08-12T07:56:11","slug":"an-overview-of-deep-learning-frameworks","status":"publish","type":"post","link":"https:\/\/jupitek.maudemo.vip\/index.php\/2024\/08\/12\/an-overview-of-deep-learning-frameworks\/","title":{"rendered":"T\u1ed5ng quan v\u1ec1 c\u00e1c Deep Learning Frameworks"},"content":{"rendered":"

H\u1ecdc s\u00e2u l\u00e0 g\u00ec?<\/a><\/h2>\n

Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) l\u00e0 m\u1ed9t thu\u1eadt ng\u1eef c\u1ef1c k\u1ef3 r\u1ed9ng cho v\u00f4 s\u1ed1 ph\u01b0\u01a1ng ph\u00e1p v\u00e0 th\u1ef1c h\u00e0nh \u0111\u1ec3 m\u00f4 ph\u1ecfng ho\u1eb7c b\u1eaft ch\u01b0\u1edbc h\u00e0nh vi c\u1ee7a con ng\u01b0\u1eddi. \u0110i\u1ec1u n\u00e0y bao g\u1ed3m h\u1ecdc m\u00e1y (ML), x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLP), t\u1ed5ng h\u1ee3p ng\u00f4n ng\u1eef, th\u1ecb gi\u00e1c m\u00e1y t\u00ednh, robot, ph\u00e2n t\u00edch c\u1ea3m bi\u1ebfn, v.v.<\/p>\n

H\u1ecdc m\u00e1y (ML) l\u00e0 m\u1ed9t d\u1ea1ng AI ph\u1ed5 bi\u1ebfn \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 cho ph\u00e9p c\u00e1c h\u1ec7 th\u1ed1ng m\u00e1y t\u00ednh h\u1ecdc h\u1ecfi t\u1eeb kinh nghi\u1ec7m tr\u01b0\u1edbc \u0111\u00f3. C\u00e1c h\u1ec7 th\u1ed1ng n\u00e0y sau \u0111\u00f3 c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng nh\u1eefng g\u00ec ch\u00fang h\u1ecdc \u0111\u01b0\u1ee3c \u0111\u1ec3 c\u1ea3i thi\u1ec7n h\u00e0nh vi c\u1ee7a ch\u00fang cho m\u1ed9t nhi\u1ec7m v\u1ee5 nh\u1ea5t \u0111\u1ecbnh. M\u1ed9t v\u00ed d\u1ee5 ph\u1ed5 bi\u1ebfn l\u00e0 nh\u1eadn d\u1ea1ng h\u00ecnh \u1ea3nh. ML li\u00ean quan \u0111\u1ebfn vi\u1ec7c \u0111\u00e0o t\u1ea1o h\u1ec7 th\u1ed1ng b\u1eb1ng c\u00e1ch xem x\u00e9t h\u00e0ng t\u1ef7 h\u00ecnh \u1ea3nh \u0111\u1ec3 h\u1ecdc c\u00e1ch nh\u1eadn d\u1ea1ng m\u1ed9t con m\u00e8o ho\u1eb7c m\u1ed9t c\u00e1i c\u00e2y ho\u1eb7c m\u1ed9t chi\u1ebfc \u00f4 t\u00f4. Khi h\u1ec7 th\u1ed1ng ch\u1ea1y, n\u00f3 ti\u1ebfp t\u1ee5c h\u1ecdc c\u00e1c bi\u1ebfn th\u1ec3 m\u1edbi c\u1ee7a c\u00e1c h\u00ecnh \u1ea3nh \u0111\u00e3 bi\u1ebft.<\/p>\n

D\u01b0\u1edbi s\u1ef1 b\u1ea3o tr\u1ee3 c\u1ee7a ML l\u00e0 h\u1ecdc s\u00e2u<\/em> , s\u1eed d\u1ee5ng m\u1ea1ng n\u01a1-ron (NN) l\u00e0m c\u1ed1t l\u00f5i. L\u1ea5y c\u1ea3m h\u1ee9ng t\u1eeb m\u1ea1ng n\u01a1-ron sinh h\u1ecdc, AI NN m\u00f4 ph\u1ecfng h\u00e0nh vi c\u1ee7a n\u00e3o ng\u01b0\u1eddi. \u0110i\u1ec1u n\u00e0y cho ph\u00e9p c\u00e1c ch\u01b0\u01a1ng tr\u00ecnh m\u00e1y t\u00ednh nh\u1eadn d\u1ea1ng c\u00e1c m\u1eabu v\u00e0 gi\u1ea3i quy\u1ebft c\u00e1c v\u1ea5n \u0111\u1ec1 ph\u1ed5 bi\u1ebfn trong l\u0129nh v\u1ef1c AI, ML v\u00e0 h\u1ecdc s\u00e2u.<\/p>\n

M\u1ea1ng n\u01a1-ron l\u00e0 m\u1ed9t chu\u1ed7i c\u00e1c thu\u1eadt to\u00e1n c\u1ed1 g\u1eafng nh\u1eadn d\u1ea1ng c\u00e1c m\u1ed1i quan h\u1ec7 c\u01a1 b\u1ea3n trong m\u1ed9t t\u1eadp d\u1eef li\u1ec7u. \u0110i\u1ec1u n\u00e0y \u0111\u01b0\u1ee3c th\u1ef1c hi\u1ec7n th\u00f4ng qua m\u1ed9t qu\u00e1 tr\u00ecnh m\u00f4 ph\u1ecfng c\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng c\u1ee7a n\u00e3o ng\u01b0\u1eddi. NN d\u1ef1a v\u00e0o d\u1eef li\u1ec7u \u0111\u00e0o t\u1ea1o \u0111\u1ec3 h\u1ecdc v\u00e0 c\u1ea3i thi\u1ec7n \u0111\u1ed9 ch\u00ednh x\u00e1c theo th\u1eddi gian.<\/p>\n

NN c\u00f3 th\u1ec3 th\u00edch \u1ee9ng v\u1edbi s\u1ef1 thay \u0111\u1ed5i \u0111\u1ea7u v\u00e0o, do \u0111\u00f3 m\u1ea1ng t\u1ea1o ra k\u1ebft qu\u1ea3 t\u1ed1t nh\u1ea5t c\u00f3 th\u1ec3 m\u00e0 kh\u00f4ng c\u1ea7n ph\u1ea3i thi\u1ebft k\u1ebf l\u1ea1i ti\u00eau ch\u00ed \u0111\u1ea7u ra. T\u00f3m l\u1ea1i, NN h\u1ecdc khi ch\u00fang x\u1eed l\u00fd d\u1eef li\u1ec7u v\u00e0 tr\u1edf n\u00ean th\u00f4ng minh h\u01a1n v\u00e0 ch\u00ednh x\u00e1c h\u01a1n theo th\u1eddi gian. NN th\u1ef1c hi\u1ec7n \u0111i\u1ec1u n\u00e0y m\u00e0 kh\u00f4ng c\u1ea7n b\u1ea5t k\u1ef3 s\u1ef1 l\u1eadp tr\u00ecnh l\u1ea1i ho\u1eb7c can thi\u1ec7p c\u1ee7a con ng\u01b0\u1eddi n\u00e0o. Trong s\u1ed1 c\u00e1c NN \u0111\u01b0\u1ee3c bi\u1ebft \u0111\u1ebfn nhi\u1ec1u nh\u1ea5t v\u00e0 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng ph\u1ed5 bi\u1ebfn nh\u1ea5t l\u00e0 c\u00e1c thu\u1eadt to\u00e1n t\u00ecm ki\u1ebfm cho Google, Bing v\u00e0 Yahoo.<\/p>\n

C\u00e1c khu\u00f4n kh\u1ed5 h\u1ecdc s\u00e2u cung c\u1ea5p m\u1ed9t b\u1ed9 ch\u1ee9c n\u0103ng c\u01a1 b\u1ea3n \u0111\u1ec3 b\u1ea1n kh\u00f4ng ph\u1ea3i ph\u00e1t minh l\u1ea1i b\u00e1nh xe. C\u00f3 r\u1ea5t nhi\u1ec1u khu\u00f4n kh\u1ed5 b\u1ea1n c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng, gi\u00fap ti\u1ebft ki\u1ec7m r\u1ea5t nhi\u1ec1u th\u1eddi gian l\u1eadp tr\u00ecnh. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 danh s\u00e1ch t\u00f3m t\u1eaft v\u1ec1 b\u1ea3y khu\u00f4n kh\u1ed5 \u0111\u01b0\u1ee3c bi\u1ebft \u0111\u1ebfn nhi\u1ec1u nh\u1ea5t v\u00e0 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i.<\/p>\n

Gi\u1edbi thi\u1ec7u v\u1ec1 c\u00e1c khu\u00f4n kh\u1ed5 h\u1ecdc s\u00e2u<\/a><\/h2>\n

M\u1eb7c d\u00f9 c\u00f3 nhi\u1ec1u khu\u00f4n kh\u1ed5, nh\u01b0ng ch\u1ec9 c\u00f3 m\u1ed9t s\u1ed1 \u00edt \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i v\u00e0 ph\u1ed5 bi\u1ebfn. Ng\u00e0nh c\u00f4ng nghi\u1ec7p c\u00f4ng ngh\u1ec7 \u0111\u00e3 t\u1eadp trung ch\u1ee7 y\u1ebfu v\u00e0o m\u1ed9t s\u1ed1 khu\u00f4n kh\u1ed5 h\u1ecdc s\u00e2u \u0111\u01b0\u1ee3c l\u1ef1a ch\u1ecdn.<\/p>\n

TensorFlow<\/a><\/h3>\n

TensorFlow<\/a> l\u00e0 n\u1ec1n t\u1ea3ng h\u1ecdc s\u00e2u ph\u1ed5 bi\u1ebfn v\u00e0 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i nh\u1ea5t. N\u00f3 \u0111\u01b0\u1ee3c Google ph\u00e1t tri\u1ec3n \u0111\u1ec3 ho\u1ea1t \u0111\u1ed9ng v\u1edbi b\u1ed9 x\u1eed l\u00fd AI c\u00f3 t\u00ean l\u00e0 Tensor Processing Unit. N\u00f3 h\u1ed7 tr\u1ee3 nhi\u1ec1u ng\u00f4n ng\u1eef nh\u01b0ng ph\u1ed5 bi\u1ebfn nh\u1ea5t l\u00e0 Python. N\u1ec1n t\u1ea3ng ph\u1ea7n m\u1ec1m n\u00e0y c\u0169ng ch\u1ea1y c\u00e1c m\u00f4 h\u00ecnh tr\u00ean n\u1ec1n t\u1ea3ng di \u0111\u1ed9ng (thi\u1ebft b\u1ecb iOS v\u00e0 Android). N\u00f3 mi\u1ec5n ph\u00ed, \u0111\u00e1ng tin c\u1eady v\u00e0 \u0111\u01b0\u1ee3c Google h\u1ed7 tr\u1ee3 li\u00ean t\u1ee5c.<\/p>\n

\u01afu \u0111i\u1ec3m<\/strong><\/p>\n

V\u1edbi s\u1ef1 h\u1ed7 tr\u1ee3 c\u1ee7a Google, TensorFlow c\u00f3 l\u1ee3i th\u1ebf v\u1ec1 hi\u1ec7u su\u1ea5t li\u1ec1n m\u1ea1ch, c\u1eadp nh\u1eadt nhanh ch\u00f3ng v\u00e0 li\u00ean t\u1ee5c ph\u00e1t h\u00e0nh c\u00e1c t\u00ednh n\u0103ng m\u1edbi. C\u00e1c th\u01b0 vi\u1ec7n c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c tri\u1ec3n khai tr\u00ean nhi\u1ec1u lo\u1ea1i ph\u1ea7n c\u1ee9ng, t\u1eeb thi\u1ebft b\u1ecb di \u0111\u1ed9ng \u0111\u1ebfn m\u00e1y t\u00ednh c\u00f3 thi\u1ebft l\u1eadp ph\u1ee9c t\u1ea1p. TensorFlow kh\u00e1 d\u1ec5 s\u1eed d\u1ee5ng, v\u1edbi c\u00e1c h\u01b0\u1edbng d\u1eabn chung \u0111\u1ec3 b\u1eaft \u0111\u1ea7u nhanh ch\u00f3ng. V\u00e0 kh\u00f4ng ch\u1ec9 c\u00f3 Google h\u1ed7 tr\u1ee3, c\u1ed9ng \u0111\u1ed3ng h\u1ed7 tr\u1ee3 TensorFlow c\u0169ng r\u1ea5t t\u1ed1t. N\u1ebfu c\u00f3 v\u1ea5n \u0111\u1ec1, b\u1ea1n c\u00f3 th\u1ec3 nhanh ch\u00f3ng nh\u1eadn \u0111\u01b0\u1ee3c tr\u1ee3 gi\u00fap.<\/p>\n

Nh\u01b0\u1ee3c \u0111i\u1ec3m<\/strong><\/p>\n

Thi\u1ebft l\u1eadp thu th\u1eadp d\u1eef li\u1ec7u cho TensorFlow t\u1eebng r\u1ea5t kh\u00f3 kh\u0103n. N\u00f3 ch\u1ec9 h\u1ed7 tr\u1ee3 Linux v\u00e0 \u01b0u ti\u00ean Python h\u01a1n Java.<\/p>\n

PyTorch<\/a><\/h3>\n

PyTorch l\u00e0 m\u1ed9t khu\u00f4n kh\u1ed5 Deep Learning m\u00e3 ngu\u1ed3n m\u1edf do Facebook ph\u00e1t tri\u1ec3n v\u00e0 d\u1ef1a tr\u00ean th\u01b0 vi\u1ec7n Torch hi\u1ec7n \u0111\u00e3 b\u1ecb b\u1ecf r\u01a1i. Kh\u00f4ng gi\u1ed1ng nh\u01b0 Torch, PyTorch s\u1eed d\u1ee5ng ng\u00f4n ng\u1eef Python ph\u1ed5 bi\u1ebfn v\u00e0 \u0111\u01b0\u1ee3c bi\u1ebft \u0111\u1ebfn v\u1edbi t\u00ednh linh ho\u1ea1t, d\u1ec5 s\u1eed d\u1ee5ng v\u00e0 \u0111\u01a1n gi\u1ea3n. N\u00f3 \u0111\u00e3 \u0111\u01b0\u1ee3c h\u1ee3p nh\u1ea5t v\u1edbi m\u1ed9t khu\u00f4n kh\u1ed5 kh\u00e1c, c\u00f3 t\u00ean l\u00e0 Caffe, v\u00e0o n\u0103m 2018. Caffe \u0111\u01b0\u1ee3c bi\u1ebft \u0111\u1ebfn v\u1edbi kh\u1ea3 n\u0103ng x\u1eed l\u00fd h\u00ecnh \u1ea3nh tuy\u1ec7t v\u1eddi.<\/p>\n

\u01afu \u0111i\u1ec3m<\/strong><\/p>\n

V\u00ec PyTorch<\/a> \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng tr\u00ean ng\u00f4n ng\u1eef Python, b\u1ea5t k\u1ef3 ai c\u00f3 ki\u1ebfn \u200b\u200bth\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 Python \u0111\u1ec1u c\u00f3 th\u1ec3 \u00e1p d\u1ee5ng khu\u00f4n kh\u1ed5 n\u00e0y v\u00e0 b\u1eaft \u0111\u1ea7u x\u00e2y d\u1ef1ng c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u. N\u00f3 c\u00f3 c\u1ed9ng \u0111\u1ed3ng ng\u01b0\u1eddi d\u00f9ng m\u1ea1nh m\u1ebd v\u00e0 th\u01b0 vi\u1ec7n c\u00f4ng c\u1ee5 phong ph\u00fa<\/a> .<\/p>\n

Nh\u01b0\u1ee3c \u0111i\u1ec3m<\/strong><\/p>\n

PyTorch kh\u00f4ng c\u00f3 m\u1ee9c h\u1ed7 tr\u1ee3 c\u1ee7a TensorFlow ho\u1eb7c Keras v\u00e0 m\u1eb7c d\u00f9 \u0111\u01b0\u1ee3c vi\u1ebft b\u1eb1ng Python, nh\u01b0ng n\u00f3 c\u00f3 th\u1ec3 kh\u00f3 \u0111\u1ec3 th\u00e0nh th\u1ea1o. Ngo\u00e0i ra, n\u00f3 ch\u1ec9 ch\u00ednh th\u1ee9c h\u1ed7 tr\u1ee3 GPU NVIDIA ch\u1ee9 kh\u00f4ng ph\u1ea3i AMD Radeon.<\/p>\n

Keras<\/a><\/h3>\n

Keras<\/a> \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng tr\u00ean TensorFlow. N\u00f3 cho ph\u00e9p b\u1ea1n x\u00e2y d\u1ef1ng c\u00e1c NN t\u01b0\u01a1ng th\u00edch v\u1edbi TensorFlow. Keras \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng \u0111\u1ec3 tr\u1edf th\u00e0nh m\u1ed9t khu\u00f4n kh\u1ed5 nh\u1eb9 v\u00e0 d\u1ec5 s\u1eed d\u1ee5ng, ho\u00e0n h\u1ea3o cho c\u1ea3 ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u v\u00e0 chuy\u00ean gia.<\/p>\n

\u01afu \u0111i\u1ec3m<\/strong><\/p>\n

Keras cung c\u1ea5p r\u00e0o c\u1ea3n th\u1ea5p \u0111\u1ec3 tham gia l\u1eadp tr\u00ecnh NN v\u00e0 chu\u1ea9n b\u1ecb d\u1eef li\u1ec7u tr\u01b0\u1edbc khi x\u1eed l\u00fd.<\/p>\n

Nh\u01b0\u1ee3c \u0111i\u1ec3m<\/strong><\/p>\n

V\u00ec Keras l\u00e0 m\u1ed9t th\u01b0 vi\u1ec7n wrapper, b\u1ea1n kh\u00f4ng th\u1ec3 s\u1eeda \u0111\u1ed5i ho\u1eb7c t\u1ed1i \u01b0u h\u00f3a c\u00e1c th\u01b0 vi\u1ec7n cho c\u00e1c nhu c\u1ea7u c\u1ee5 th\u1ec3. N\u00f3 c\u0169ng s\u1eed d\u1ee5ng r\u1ea5t nhi\u1ec1u t\u00e0i nguy\u00ean v\u00e0 kh\u00f4ng \u0111i k\u00e8m v\u1edbi b\u1ea5t k\u1ef3 m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c c\u1ea5u h\u00ecnh s\u1eb5n n\u00e0o. N\u00f3 ch\u1ec9 h\u1ed7 tr\u1ee3 ng\u00f4n ng\u1eef Python.<\/p>\n

H\u1ecdc s\u00e2u4j<\/a><\/h3>\n

Deeplearning4j<\/a> l\u00e0 m\u1ed9t th\u01b0 vi\u1ec7n \u0111\u01b0\u1ee3c vi\u1ebft v\u00e0 t\u1ed1i \u01b0u h\u00f3a cho Java Virtual Machine (JVM) v\u00e0 t\u1ea5t c\u1ea3 c\u00e1c ng\u00f4n ng\u1eef \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3. M\u1ed9t s\u1ed1 ng\u00f4n ng\u1eef n\u00e0y bao g\u1ed3m Kotlin, Clojure v\u00e0 Scala. Tuy nhi\u00ean, n\u00f3 c\u0169ng h\u1ed7 tr\u1ee3 Python. Khung \u0111\u01b0\u1ee3c ph\u00e1t h\u00e0nh theo gi\u1ea5y ph\u00e9p Apache v\u00e0 bao g\u1ed3m h\u1ed7 tr\u1ee3 cho Apache NN. Ngo\u00e0i ra c\u00f2n c\u00f3 c\u00e1c phi\u00ean b\u1ea3n song song ph\u00e2n t\u00e1n ho\u1ea1t \u0111\u1ed9ng v\u1edbi Apache Hadoop v\u00e0 Spark.<\/p>\n

\u01afu \u0111i\u1ec3m<\/strong><\/p>\n

Khung n\u00e0y hi\u1ec7u qu\u1ea3 h\u01a1n cho c\u00e1c t\u00e1c v\u1ee5 nh\u1eadn d\u1ea1ng h\u00ecnh \u1ea3nh s\u1eed d\u1ee5ng nhi\u1ec1u GPU v\u00ec n\u00f3 \u0111\u01b0\u1ee3c tri\u1ec3n khai b\u1eb1ng Java. Deeplearning4j \u0111\u1eb7c bi\u1ec7t t\u1ed1t cho x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean, khai th\u00e1c v\u0103n b\u1ea3n, ph\u00e1t hi\u1ec7n gian l\u1eadn, nh\u1eadn d\u1ea1ng h\u00ecnh \u1ea3nh v\u00e0 g\u1eafn th\u1ebb c\u00e1c lo\u1ea1i gi\u1ecdng n\u00f3i.<\/p>\n

Nh\u01b0\u1ee3c \u0111i\u1ec3m<\/strong><\/p>\n

Java kh\u00f4ng ph\u1ed5 bi\u1ebfn b\u1eb1ng Python trong l\u0129nh v\u1ef1c h\u1ecdc m\u00e1y. Do \u0111\u00f3, b\u1ea3n th\u00e2n khu\u00f4n kh\u1ed5 n\u00e0y kh\u00f4ng c\u00f3 c\u1ed9ng \u0111\u1ed3ng v\u00e0 c\u01a1 s\u1edf m\u00e3 \u0111ang ph\u00e1t tri\u1ec3n nh\u01b0 TensorFlow ho\u1eb7c Keras. V\u00ec nh\u1eefng l\u00fd do n\u00e0y, vi\u1ec7c tri\u1ec3n khai m\u1ed9t d\u1ef1 \u00e1n h\u1ecdc s\u00e2u d\u1ef1a tr\u00ean Java c\u00f3 th\u1ec3 kh\u00f3 kh\u0103n h\u01a1n.<\/p>\n

ONNX<\/a><\/h3>\n

ONNX (Open Neural Network Exchange) \u0111\u01b0\u1ee3c Microsoft v\u00e0 Facebook ph\u00e1t tri\u1ec3n nh\u01b0 m\u1ed9t h\u1ec7 sinh th\u00e1i h\u1ecdc s\u00e2u m\u00e3 ngu\u1ed3n m\u1edf. N\u00f3 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 cung c\u1ea5p m\u1ed9t khu\u00f4n kh\u1ed5 h\u1ecdc s\u00e2u cho ph\u00e9p c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n d\u1ec5 d\u00e0ng chuy\u1ec3n \u0111\u1ed5i gi\u1eefa c\u00e1c n\u1ec1n t\u1ea3ng. C\u00e1c m\u00f4 h\u00ecnh ONNX \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 g\u1ed1c trong Microsoft Cognitive Toolkit, Caffe2, MXNet v\u00e0 PyTorch.<\/p>\n

\u01afu \u0111i\u1ec3m<\/strong><\/p>\n

ONNX<\/a> \u0111\u01b0\u1ee3c \u01b0a chu\u1ed9ng v\u00ec t\u00ednh linh ho\u1ea1t v\u00e0 kh\u1ea3 n\u0103ng t\u01b0\u01a1ng t\u00e1c gi\u1eefa nhi\u1ec1u khu\u00f4n kh\u1ed5. C\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n c\u00f3 th\u1ec3 d\u1ec5 d\u00e0ng chuy\u1ec3n \u0111\u1ed5i m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc c\u1ee7a h\u1ecd th\u00e0nh m\u1ed9t t\u1ec7p, sau \u0111\u00f3 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c h\u1ee3p nh\u1ea5t v\u1edbi \u1ee9ng d\u1ee5ng c\u1ee7a h\u1ecd. Do h\u1ed7 tr\u1ee3 g\u1ed1c r\u1ed9ng r\u00e3i, ONNX ng\u0103n ch\u1eb7n t\u00ecnh tr\u1ea1ng kh\u00f3a khu\u00f4n kh\u1ed5 b\u1eb1ng c\u00e1ch cung c\u1ea5p quy\u1ec1n truy c\u1eadp d\u1ec5 d\u00e0ng h\u01a1n v\u00e0o t\u1ed1i \u01b0u h\u00f3a ph\u1ea7n c\u1ee9ng v\u00e0 cho ph\u00e9p chia s\u1ebb m\u00f4 h\u00ecnh.<\/p>\n

Nh\u01b0\u1ee3c \u0111i\u1ec3m<\/strong><\/p>\n

Vi\u1ec7c chuy\u1ec3n \u0111\u1ed5i c\u00f3 th\u1ec3 kh\u00f3 kh\u0103n v\u1edbi c\u00e1c m\u00f4 h\u00ecnh ph\u1ee9c t\u1ea1p h\u01a1n. T\u00f9y thu\u1ed9c v\u00e0o ki\u1ebfn \u200b\u200btr\u00fac v\u00e0 tri\u1ec3n khai, b\u1ea1n c\u00f3 th\u1ec3 c\u1ea7n ph\u1ea3i \u0111i\u1ec1u ch\u1ec9nh m\u00e3 \u0111\u1ec3 h\u1ed7 tr\u1ee3 ONNX. Th\u1eddi gian ch\u1ea1y c\u1ee7a n\u00f3 thi\u1ebfu s\u1ef1 h\u1ed7 tr\u1ee3 r\u1ed9ng r\u00e3i c\u1ee7a c\u00e1c th\u01b0 vi\u1ec7n ph\u1ed5 bi\u1ebfn kh\u00e1c.<\/p>\n

Apache MXNet<\/a><\/h3>\n

MXNet \u0111\u01b0\u1ee3c t\u1ea1o ra b\u1edfi Apache Software Foundation v\u00e0 \u0111\u01b0\u1ee3c Amazon Web Services h\u1ed7 tr\u1ee3 v\u00e0 h\u1eadu thu\u1eabn. MXNet n\u1ed5i ti\u1ebfng v\u00ec cung c\u1ea5p hi\u1ec7u qu\u1ea3 m\u1edf r\u1ed9ng g\u1ea7n nh\u01b0 tuy\u1ebfn t\u00ednh v\u00e0 t\u1eadn d\u1ee5ng ph\u1ea7n c\u1ee9ng \u1edf m\u1ee9c ti\u1ec1m n\u0103ng l\u1edbn nh\u1ea5t.<\/p>\n

\u01afu \u0111i\u1ec3m<\/strong><\/p>\n

Apache MXNet<\/a> cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng vi\u1ebft m\u00e3 b\u1eb1ng nhi\u1ec1u ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh kh\u00e1c nhau, bao g\u1ed3m Python, C++, R, Julia v\u00e0 Scala. Ph\u1ea7n back-end \u0111\u01b0\u1ee3c vi\u1ebft b\u1eb1ng C++ v\u00e0 CUDA, cho ph\u00e9p m\u1edf r\u1ed9ng tr\u00ean t\u1ea5t c\u1ea3 c\u00e1c GPU. N\u00f3 \u0111\u00e1ng ch\u00fa \u00fd v\u00ec h\u1ed7 tr\u1ee3 c\u00e1c m\u1ea1ng Long Short-Term Memory (LTSM)<\/a> . Khung h\u1ecdc s\u00e2u n\u00e0y \u0111\u01b0\u1ee3c bi\u1ebft \u0111\u1ebfn v\u1edbi kh\u1ea3 n\u0103ng h\u00ecnh \u1ea3nh, nh\u1eadn d\u1ea1ng ch\u1eef vi\u1ebft tay\/gi\u1ecdng n\u00f3i, d\u1ef1 b\u00e1o v\u00e0 NLP.<\/p>\n

Nh\u01b0\u1ee3c \u0111i\u1ec3m<\/strong><\/p>\n

MXNet c\u00f3 c\u1ed9ng \u0111\u1ed3ng ngu\u1ed3n m\u1edf nh\u1ecf h\u01a1n nhi\u1ec1u so v\u1edbi TensorFlow v\u00e0 PyTorch. C\u00e1c c\u1ea3i ti\u1ebfn, s\u1eeda l\u1ed7i v\u00e0 t\u00ednh n\u0103ng m\u1edbi ra m\u1eaft ch\u1eadm h\u01a1n.<\/p>\n

Ngu\u1ed3n : https:\/\/www.linode.com\/docs\/guides\/deep-learning-frameworks-overview\/<\/p>\n","protected":false},"excerpt":{"rendered":"

H\u1ecdc s\u00e2u l\u00e0 g\u00ec? Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) l\u00e0 m\u1ed9t thu\u1eadt ng\u1eef c\u1ef1c k\u1ef3 r\u1ed9ng cho v\u00f4 s\u1ed1 ph\u01b0\u01a1ng ph\u00e1p v\u00e0 th\u1ef1c h\u00e0nh \u0111\u1ec3 m\u00f4 ph\u1ecfng ho\u1eb7c b\u1eaft ch\u01b0\u1edbc h\u00e0nh vi c\u1ee7a con ng\u01b0\u1eddi. \u0110i\u1ec1u n\u00e0y bao g\u1ed3m h\u1ecdc m\u00e1y (ML), x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLP), t\u1ed5ng h\u1ee3p ng\u00f4n ng\u1eef, th\u1ecb gi\u00e1c<\/p>\n","protected":false},"author":1,"featured_media":35458,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[101],"tags":[],"class_list":["post-34863","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data"],"_links":{"self":[{"href":"https:\/\/jupitek.maudemo.vip\/index.php\/wp-json\/wp\/v2\/posts\/34863","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jupitek.maudemo.vip\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jupitek.maudemo.vip\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jupitek.maudemo.vip\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jupitek.maudemo.vip\/index.php\/wp-json\/wp\/v2\/comments?post=34863"}],"version-history":[{"count":0,"href":"https:\/\/jupitek.maudemo.vip\/index.php\/wp-json\/wp\/v2\/posts\/34863\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jupitek.maudemo.vip\/index.php\/wp-json\/wp\/v2\/media\/35458"}],"wp:attachment":[{"href":"https:\/\/jupitek.maudemo.vip\/index.php\/wp-json\/wp\/v2\/media?parent=34863"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jupitek.maudemo.vip\/index.php\/wp-json\/wp\/v2\/categories?post=34863"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jupitek.maudemo.vip\/index.php\/wp-json\/wp\/v2\/tags?post=34863"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}