{"id":477761,"date":"2023-08-09T09:19:52","date_gmt":"2023-08-09T09:19:52","guid":{"rendered":""},"modified":"2023-09-05T11:15:22","modified_gmt":"2023-09-05T11:15:22","slug":"keras","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/keras\/","title":{"rendered":"m\u00e1y \u1ea3nh"},"content":{"rendered":"<p>Keras l\u00e0 m\u1ed9t deep learning framework m\u00e3 ngu\u1ed3n m\u1edf \u0111\u01b0\u1ee3c vi\u1ebft b\u1eb1ng Python. N\u00f3 \u0111\u01b0\u1ee3c bi\u1ebft \u0111\u1ebfn r\u1ed9ng r\u00e3i nh\u1edd t\u00ednh linh ho\u1ea1t v\u00e0 th\u00e2n thi\u1ec7n v\u1edbi ng\u01b0\u1eddi d\u00f9ng, khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh l\u1ef1a ch\u1ecdn ph\u1ed5 bi\u1ebfn c\u1ee7a c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u, nh\u00e0 ph\u00e1t tri\u1ec3n v\u00e0 nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u \u0111\u1ec3 x\u00e2y d\u1ef1ng v\u00e0 th\u1eed nghi\u1ec7m m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh. Keras ban \u0111\u1ea7u \u0111\u01b0\u1ee3c Fran\u00e7ois Chollet ph\u00e1t tri\u1ec3n nh\u01b0 m\u1ed9t d\u1ef1 \u00e1n \u0111\u1ed9c l\u1eadp v\u00e0o n\u0103m 2015 v\u00e0 sau \u0111\u00f3 \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p v\u00e0o th\u01b0 vi\u1ec7n TensorFlow, tr\u1edf th\u00e0nh API c\u1ea5p cao ch\u00ednh th\u1ee9c c\u1ee7a n\u00f3. Khung n\u00e0y cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng x\u00e1c \u0111\u1ecbnh v\u00e0 hu\u1ea5n luy\u1ec7n c\u00e1c m\u00f4 h\u00ecnh m\u1ea1ng th\u1ea7n kinh ph\u1ee9c t\u1ea1p v\u1edbi n\u1ed7 l\u1ef1c t\u1ed1i thi\u1ec3u, gi\u00fap c\u1ea3 ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u v\u00e0 chuy\u00ean gia trong l\u0129nh v\u1ef1c h\u1ecdc s\u00e2u \u0111\u1ec1u c\u00f3 th\u1ec3 truy c\u1eadp \u0111\u01b0\u1ee3c.<\/p>\n<h2>L\u1ecbch s\u1eed v\u1ec1 ngu\u1ed3n g\u1ed1c c\u1ee7a Keras v\u00e0 l\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u1ec1 c\u1eadp \u0111\u1ebfn n\u00f3<\/h2>\n<p>L\u1ecbch s\u1eed c\u1ee7a Keras b\u1eaft ngu\u1ed3n t\u1eeb \u0111\u1ea7u nh\u1eefng n\u0103m 2010 khi Fran\u00e7ois Chollet b\u1eaft \u0111\u1ea7u th\u1ef1c hi\u1ec7n d\u1ef1 \u00e1n nh\u01b0 m\u1ed9t n\u1ed7 l\u1ef1c c\u00e1 nh\u00e2n. M\u1ee5c ti\u00eau ch\u00ednh c\u1ee7a anh l\u00e0 t\u1ea1o ra m\u1ed9t khung h\u1ecdc s\u00e2u th\u00e2n thi\u1ec7n v\u1edbi ng\u01b0\u1eddi d\u00f9ng, cho ph\u00e9p th\u1eed nghi\u1ec7m v\u00e0 t\u1ea1o nguy\u00ean m\u1eabu nhanh ch\u00f3ng. V\u00e0o th\u00e1ng 3 n\u0103m 2015, Fran\u00e7ois ch\u00ednh th\u1ee9c ph\u00e1t h\u00e0nh Keras tr\u00ean GitHub v\u00e0 nhanh ch\u00f3ng nh\u1eadn \u0111\u01b0\u1ee3c s\u1ef1 c\u00f4ng nh\u1eadn c\u0169ng nh\u01b0 \u0111\u00e1nh gi\u00e1 cao t\u1eeb c\u1ed9ng \u0111\u1ed3ng deep learning.<\/p>\n<p>L\u1ea7n \u0111\u1ea7u ti\u00ean nh\u1eafc \u0111\u1ebfn Keras \u0111\u00e3 nh\u1eadn \u0111\u01b0\u1ee3c s\u1ef1 ch\u00fa \u00fd \u0111\u00e1ng k\u1ec3 nh\u1edd thi\u1ebft k\u1ebf \u0111\u1ed9c \u0111\u00e1o, \u01b0u ti\u00ean s\u1ef1 \u0111\u01a1n gi\u1ea3n v\u00e0 d\u1ec5 s\u1eed d\u1ee5ng. Nh\u1eefng ng\u01b0\u1eddi \u0111am m\u00ea h\u1ecdc s\u00e2u v\u00e0 c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u b\u1ecb thu h\u00fat b\u1edfi API tr\u1ef1c quan c\u1ee7a n\u00f3, cho ph\u00e9p h\u1ecd t\u1eadp trung v\u00e0o vi\u1ec7c x\u00e2y d\u1ef1ng c\u00e1c m\u00f4 h\u00ecnh \u0111\u1ed5i m\u1edbi m\u00e0 kh\u00f4ng b\u1ecb l\u1ea1c v\u00e0o s\u1ef1 ph\u1ee9c t\u1ea1p c\u1ee7a c\u00e1c chi ti\u1ebft c\u1ea5p th\u1ea5p.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 Keras. M\u1edf r\u1ed9ng ch\u1ee7 \u0111\u1ec1 Keras<\/h2>\n<p>Keras \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng tr\u00ean nguy\u00ean t\u1eafc m\u00f4-\u0111un v\u00e0 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng. N\u00f3 cung c\u1ea5p m\u1ed9t lo\u1ea1t c\u00e1c l\u1edbp d\u1ef1ng s\u1eb5n, ch\u1ee9c n\u0103ng k\u00edch ho\u1ea1t, thu\u1eadt to\u00e1n t\u1ed1i \u01b0u h\u00f3a v\u00e0 ch\u1ee9c n\u0103ng m\u1ea5t. C\u00e1ch ti\u1ebfp c\u1eadn m\u00f4-\u0111un n\u00e0y t\u1ea1o \u0111i\u1ec1u ki\u1ec7n thu\u1eadn l\u1ee3i cho vi\u1ec7c x\u00e2y d\u1ef1ng c\u00e1c m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh ph\u1ee9c t\u1ea1p b\u1eb1ng c\u00e1ch x\u1ebfp ch\u1ed3ng ho\u1eb7c k\u1ebft n\u1ed1i c\u00e1c th\u00e0nh ph\u1ea7n \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh tr\u01b0\u1edbc n\u00e0y. H\u01a1n n\u1eefa, Keras cung c\u1ea5p quy\u1ec1n t\u1ef1 do t\u00f9y ch\u1ec9nh c\u00e1c m\u00f4 h\u00ecnh \u0111\u1ec3 ph\u00f9 h\u1ee3p v\u1edbi c\u00e1c y\u00eau c\u1ea7u c\u1ee5 th\u1ec3 th\u00f4ng qua API ch\u1ee9c n\u0103ng c\u1ee7a n\u00f3, cho ph\u00e9p ki\u1ebfn tr\u00fac \u0111a \u0111\u1ea7u v\u00e0o v\u00e0 \u0111a \u0111\u1ea7u ra.<\/p>\n<p>V\u1edbi kh\u1ea3 n\u0103ng t\u00edch h\u1ee3p li\u1ec1n m\u1ea1ch v\u00e0o TensorFlow, Keras \u0111\u01b0\u1ee3c h\u01b0\u1edfng l\u1ee3i t\u1eeb c\u00e1c t\u00ednh n\u0103ng n\u00e2ng cao, kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng v\u00e0 t\u00f9y ch\u1ecdn tri\u1ec3n khai c\u1ee7a TensorFlow. S\u1ef1 t\u00edch h\u1ee3p n\u00e0y \u0111\u00e3 m\u1edf ra c\u01a1 h\u1ed9i cho Keras \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong c\u00e1c \u1ee9ng d\u1ee5ng c\u1ea5p s\u1ea3n xu\u1ea5t v\u00e0 c\u00e1c d\u1ef1 \u00e1n deep learning quy m\u00f4 l\u1edbn.<\/p>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a Keras. Keras ho\u1ea1t \u0111\u1ed9ng nh\u01b0 th\u1ebf n\u00e0o<\/h2>\n<p>Keras tu\u00e2n theo thi\u1ebft k\u1ebf API c\u1ea5p cao nh\u1eb1m tr\u1eebu t\u01b0\u1ee3ng h\u00f3a s\u1ef1 ph\u1ee9c t\u1ea1p c\u1ee7a deep learning. Ki\u1ebfn tr\u00fac c\u1ee7a n\u00f3 \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c th\u00e0nh ba th\u00e0nh ph\u1ea7n ch\u00ednh:<\/p>\n<ol>\n<li>\n<p><strong>Ph\u1ea7n cu\u1ed1i:<\/strong> Ph\u1ea7n ph\u1ee5 tr\u1ee3 ch\u1ecbu tr\u00e1ch nhi\u1ec7m th\u1ef1c hi\u1ec7n c\u00e1c ho\u1ea1t \u0111\u1ed9ng t\u00ednh to\u00e1n c\u1ee7a Keras. Ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 linh ho\u1ea1t l\u1ef1a ch\u1ecdn t\u1eeb c\u00e1c c\u00f4ng c\u1ee5 ph\u1ee5 tr\u1ee3 kh\u00e1c nhau, ch\u1eb3ng h\u1ea1n nh\u01b0 TensorFlow, Theano ho\u1eb7c CNTK, d\u1ef1a tr\u00ean s\u1edf th\u00edch ho\u1eb7c kh\u1ea3 n\u0103ng t\u01b0\u01a1ng th\u00edch ph\u1ea7n c\u1ee9ng c\u1ee7a h\u1ecd.<\/p>\n<\/li>\n<li>\n<p><strong>L\u1edbp:<\/strong> Keras cung c\u1ea5p nhi\u1ec1u l\u1edbp kh\u00e1c nhau, bao g\u1ed3m l\u1edbp d\u00e0y \u0111\u1eb7c (\u0111\u01b0\u1ee3c k\u1ebft n\u1ed1i \u0111\u1ea7y \u0111\u1ee7), l\u1edbp t\u00edch ch\u1eadp, l\u1edbp t\u00e1i ph\u00e1t, l\u1edbp g\u1ed9p, v.v. C\u00e1c l\u1edbp n\u00e0y c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c k\u1ebft h\u1ee3p v\u00e0 x\u1ebfp ch\u1ed3ng l\u00ean nhau \u0111\u1ec3 t\u1ea1o ra ki\u1ebfn tr\u00fac m\u1ea1ng th\u1ea7n kinh m\u1ea1nh m\u1ebd.<\/p>\n<\/li>\n<li>\n<p><strong>M\u00f4 h\u00ecnh:<\/strong> Kh\u1ed1i x\u00e2y d\u1ef1ng c\u1ed1t l\u00f5i c\u1ee7a Keras l\u00e0 l\u1edbp Model, cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng t\u1ed5 ch\u1ee9c c\u00e1c l\u1edbp th\u00e0nh m\u1ed9t c\u1ea5u tr\u00fac g\u1eafn k\u1ebft \u0111\u1ec3 t\u1ea1o th\u00e0nh m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh. Keras h\u1ed7 tr\u1ee3 c\u1ea3 m\u00f4 h\u00ecnh Tu\u1ea7n t\u1ef1, ph\u00f9 h\u1ee3p v\u1edbi ki\u1ebfn tr\u00fac tuy\u1ebfn t\u00ednh gi\u1ed1ng nh\u01b0 ng\u0103n x\u1ebfp v\u00e0 API ch\u1ee9c n\u0103ng cho c\u00e1c m\u1ea1ng ph\u1ee9c t\u1ea1p h\u01a1n, nhi\u1ec1u \u0111\u1ea7u v\u00e0o v\u00e0 nhi\u1ec1u \u0111\u1ea7u ra.<\/p>\n<\/li>\n<\/ol>\n<h2>Ph\u00e2n t\u00edch c\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a Keras<\/h2>\n<p>Keras n\u1ed5i b\u1eadt trong s\u1ed1 c\u00e1c framework deep learning nh\u1edd c\u00e1c t\u00ednh n\u0103ng \u0111\u1eb7c bi\u1ec7t c\u1ee7a n\u00f3:<\/p>\n<ol>\n<li>\n<p><strong>Th\u00e2n thi\u1ec7n v\u1edbi ng\u01b0\u1eddi d\u00f9ng:<\/strong> Keras cung c\u1ea5p API tr\u1ef1c quan v\u00e0 \u0111\u01a1n gi\u1ea3n, gi\u00fap ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u d\u1ec5 d\u00e0ng b\u1eaft \u0111\u1ea7u h\u1ecdc s\u00e2u.<\/p>\n<\/li>\n<li>\n<p><strong>T\u00ednh m\u00f4 \u0111un:<\/strong> Thi\u1ebft k\u1ebf m\u00f4-\u0111un c\u1ee7a khung cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng x\u00e2y d\u1ef1ng v\u00e0 th\u1eed nghi\u1ec7m c\u00e1c m\u1ea1ng th\u1ea7n kinh b\u1eb1ng c\u00e1ch k\u1ebft h\u1ee3p c\u00e1c th\u00e0nh ph\u1ea7n d\u1ef1ng s\u1eb5n.<\/p>\n<\/li>\n<li>\n<p><strong>Uy\u1ec3n chuy\u1ec3n:<\/strong> V\u1edbi nhi\u1ec1u t\u00f9y ch\u1ecdn ph\u1ee5 tr\u1ee3 v\u00e0 t\u00edch h\u1ee3p li\u1ec1n m\u1ea1ch v\u1edbi TensorFlow, Keras th\u00edch \u1ee9ng v\u1edbi nhi\u1ec1u y\u00eau c\u1ea7u tri\u1ec3n khai v\u00e0 ph\u1ea7n c\u1ee9ng kh\u00e1c nhau.<\/p>\n<\/li>\n<li>\n<p><strong>Kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng:<\/strong> Ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 ph\u00e1t tri\u1ec3n c\u00e1c l\u1edbp t\u00f9y ch\u1ec9nh, ch\u1ee9c n\u0103ng m\u1ea5t v\u00e0 c\u00e1c th\u00e0nh ph\u1ea7n kh\u00e1c \u0111\u1ec3 m\u1edf r\u1ed9ng ch\u1ee9c n\u0103ng c\u1ee7a Keras.<\/p>\n<\/li>\n<li>\n<p><strong>S\u1ef1 \u0111\u00f3ng g\u00f3p cho c\u1ed9ng \u0111\u1ed3ng:<\/strong> Keras c\u00f3 m\u1ed9t c\u1ed9ng \u0111\u1ed3ng s\u00f4i \u0111\u1ed9ng v\u00e0 t\u00edch c\u1ef1c, cung c\u1ea5p nhi\u1ec1u t\u00e0i li\u1ec7u, h\u01b0\u1edbng d\u1eabn v\u00e0 v\u00ed d\u1ee5 v\u1ec1 m\u00e3.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1c lo\u1ea1i Kera<\/h2>\n<p>Keras c\u00f3 nhi\u1ec1u d\u1ea1ng kh\u00e1c nhau \u0111\u1ec3 \u0111\u00e1p \u1ee9ng nhu c\u1ea7u \u0111a d\u1ea1ng. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 c\u00e1c lo\u1ea1i ch\u00ednh:<\/p>\n<ol>\n<li>\n<p><strong>M\u00e1y \u1ea3nh \u0111\u1ed9c l\u1eadp:<\/strong> Phi\u00ean b\u1ea3n \u0111\u1ed9c l\u1eadp ban \u0111\u1ea7u c\u1ee7a Keras tr\u01b0\u1edbc khi t\u00edch h\u1ee3p v\u1edbi TensorFlow. N\u00f3 v\u1eabn c\u00f3 s\u1eb5n \u0111\u1ec3 s\u1eed d\u1ee5ng, nh\u01b0ng h\u1ea7u h\u1ebft ng\u01b0\u1eddi d\u00f9ng th\u00edch phi\u00ean b\u1ea3n t\u00edch h\u1ee3p h\u01a1n v\u00ec nh\u1eefng l\u1ee3i \u00edch b\u1ed5 sung c\u1ee7a TensorFlow.<\/p>\n<\/li>\n<li>\n<p><strong>API Keras trong TensorFlow:<\/strong> \u0110\u00e2y l\u00e0 phi\u00ean b\u1ea3n ch\u00ednh th\u1ee9c c\u1ee7a Keras, \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p v\u00e0o th\u01b0 vi\u1ec7n TensorFlow. N\u00f3 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c truy c\u1eadp th\u00f4ng qua <code data-no-translation=\"\">tf.keras<\/code> v\u00e0 l\u00e0 l\u1ef1a ch\u1ecdn \u0111\u01b0\u1ee3c \u0111\u1ec1 xu\u1ea5t cho ng\u01b0\u1eddi d\u00f9ng TensorFlow.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1c c\u00e1ch s\u1eed d\u1ee5ng Keras, c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p li\u00ean quan \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng<\/h2>\n<p>Keras c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng theo nhi\u1ec1u c\u00e1ch kh\u00e1c nhau, t\u00f9y thu\u1ed9c v\u00e0o \u0111\u1ed9 ph\u1ee9c t\u1ea1p v\u00e0 quy m\u00f4 c\u1ee7a d\u1ef1 \u00e1n deep learning. M\u1ed9t s\u1ed1 t\u00ecnh hu\u1ed1ng s\u1eed d\u1ee5ng ph\u1ed5 bi\u1ebfn bao g\u1ed3m:<\/p>\n<ol>\n<li>\n<p><strong>D\u1ef1 \u00e1n d\u00e0nh cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u:<\/strong> \u0110\u1ed1i v\u1edbi ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u, Keras cung c\u1ea5p m\u1ed9t c\u00e1ch \u0111\u01a1n gi\u1ea3n \u0111\u1ec3 tri\u1ec3n khai v\u00e0 hu\u1ea5n luy\u1ec7n c\u00e1c m\u1ea1ng th\u1ea7n kinh c\u01a1 b\u1ea3n, ch\u1eb3ng h\u1ea1n nh\u01b0 m\u1ea1ng th\u1ea7n kinh chuy\u1ec3n ti\u1ebfp ho\u1eb7c t\u00edch ch\u1eadp, tr\u00ean c\u00e1c t\u1eadp d\u1eef li\u1ec7u nh\u1ecf.<\/p>\n<\/li>\n<li>\n<p><strong>Nghi\u00ean c\u1ee9u v\u00e0 t\u1ea1o m\u1eabu:<\/strong> C\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u v\u00e0 nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u th\u01b0\u1eddng s\u1eed d\u1ee5ng Keras \u0111\u1ec3 t\u1ea1o m\u1eabu v\u00e0 th\u1eed nghi\u1ec7m nhanh do t\u00ednh d\u1ec5 s\u1eed d\u1ee5ng v\u00e0 kh\u1ea3 n\u0103ng l\u1eb7p l\u1ea1i m\u00f4 h\u00ecnh nhanh ch\u00f3ng.<\/p>\n<\/li>\n<li>\n<p><strong>Chuy\u1ec3n ti\u1ebfp h\u1ecdc t\u1eadp:<\/strong> Keras t\u1ea1o \u0111i\u1ec1u ki\u1ec7n thu\u1eadn l\u1ee3i cho vi\u1ec7c s\u1eed d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc v\u00e0 h\u1ecdc chuy\u1ec3n giao, trong \u0111\u00f3 c\u00e1c m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u00ean b\u1ed9 d\u1eef li\u1ec7u l\u1edbn \u0111\u01b0\u1ee3c \u0111i\u1ec1u ch\u1ec9nh cho ph\u00f9 h\u1ee3p v\u1edbi c\u00e1c nhi\u1ec7m v\u1ee5 c\u1ee5 th\u1ec3.<\/p>\n<\/li>\n<li>\n<p><strong>\u1ee8ng d\u1ee5ng c\u1ea5p s\u1ea3n xu\u1ea5t:<\/strong> \u0110\u1ec3 tri\u1ec3n khai s\u1ea3n xu\u1ea5t quy m\u00f4 l\u1edbn, Keras \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p v\u1edbi TensorFlow cho ph\u00e9p \u0111\u00e0o t\u1ea1o v\u00e0 ph\u1ee5c v\u1ee5 ph\u00e2n t\u00e1n hi\u1ec7u qu\u1ea3 th\u00f4ng qua TensorFlow Serve ho\u1eb7c TensorFlow Lite.<\/p>\n<\/li>\n<\/ol>\n<p>C\u00e1c v\u1ea5n \u0111\u1ec1 li\u00ean quan \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng Keras th\u01b0\u1eddng li\u00ean quan \u0111\u1ebfn v\u1ea5n \u0111\u1ec1 t\u01b0\u01a1ng th\u00edch v\u1edbi c\u00e1c ch\u01b0\u01a1ng tr\u00ecnh ph\u1ee5 tr\u1ee3 kh\u00e1c nhau ho\u1eb7c th\u00e1ch th\u1ee9c trong vi\u1ec7c t\u1ed1i \u01b0u h\u00f3a m\u00f4 h\u00ecnh cho ph\u1ea7n c\u1ee9ng c\u1ee5 th\u1ec3. Tuy nhi\u00ean, c\u1ed9ng \u0111\u1ed3ng t\u00edch c\u1ef1c v\u00e0 t\u00e0i li\u1ec7u phong ph\u00fa c\u1ee7a Keras cung c\u1ea5p gi\u1ea3i ph\u00e1p cho h\u1ea7u h\u1ebft c\u00e1c v\u1ea5n \u0111\u1ec1 m\u00e0 ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 g\u1eb7p ph\u1ea3i.<\/p>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 so s\u00e1nh kh\u00e1c v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1<\/h2>\n<p>\u0110\u1ec3 hi\u1ec3u r\u00f5 h\u01a1n v\u1ec1 t\u1ea7m quan tr\u1ecdng c\u1ee7a Keras, h\u00e3y so s\u00e1nh n\u00f3 v\u1edbi c\u00e1c framework deep learning t\u01b0\u01a1ng t\u1ef1:<\/p>\n<table>\n<thead>\n<tr>\n<th>Khung<\/th>\n<th>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>m\u00e1y \u1ea3nh<\/td>\n<td>Th\u00e2n thi\u1ec7n v\u1edbi ng\u01b0\u1eddi d\u00f9ng, thi\u1ebft k\u1ebf m\u00f4-\u0111un, t\u00edch h\u1ee3p TensorFlow, t\u00ednh linh ho\u1ea1t v\u00e0 h\u1ed7 tr\u1ee3 c\u1ed9ng \u0111\u1ed3ng m\u1ea1nh m\u1ebd.<\/td>\n<\/tr>\n<tr>\n<td>D\u00f2ng ch\u1ea3y c\u0103ng<\/td>\n<td>H\u1ec7 sinh th\u00e1i \u0111a n\u0103ng, c\u00f3 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng, s\u1eb5n s\u00e0ng s\u1ea3n xu\u1ea5t, r\u1ed9ng h\u01a1n v\u1edbi c\u00e1c c\u00f4ng c\u1ee5 \u0111\u1ec3 h\u1ecdc t\u0103ng c\u01b0\u1eddng, v.v.<\/td>\n<\/tr>\n<tr>\n<td>PyTorch<\/td>\n<td>\u0110\u1ed3 th\u1ecb t\u00ednh to\u00e1n \u0111\u1ed9ng, \u00e1p d\u1ee5ng m\u1ea1nh m\u1ebd trong nghi\u00ean c\u1ee9u, g\u1ee1 l\u1ed7i d\u1ec5 d\u00e0ng h\u01a1n v\u00e0 nhi\u1ec1u c\u00fa ph\u00e1p Pythonic h\u01a1n.<\/td>\n<\/tr>\n<tr>\n<td>c\u00e0 ph\u00ea<\/td>\n<td>Chuy\u00ean d\u00f9ng cho c\u00e1c t\u00e1c v\u1ee5 th\u1ecb gi\u00e1c m\u00e1y t\u00ednh, suy lu\u1eadn nhanh h\u01a1n nh\u01b0ng k\u00e9m linh ho\u1ea1t trong vi\u1ec7c t\u00f9y ch\u1ec9nh m\u00f4 h\u00ecnh.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Keras v\u01b0\u1ee3t tr\u1ed9i v\u1ec1 t\u00ednh th\u00e2n thi\u1ec7n v\u1edbi ng\u01b0\u1eddi d\u00f9ng v\u00e0 d\u1ec5 s\u1eed d\u1ee5ng so v\u1edbi c\u00e1c framework kh\u00e1c, khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh l\u1ef1a ch\u1ecdn \u01b0u ti\u00ean cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u v\u00e0 nh\u1eefng ng\u01b0\u1eddi t\u1eadp trung v\u00e0o t\u1ea1o nguy\u00ean m\u1eabu nhanh.<\/p>\n<h2>Quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn Keras<\/h2>\n<p>T\u01b0\u01a1ng lai c\u1ee7a Keras g\u1eafn ch\u1eb7t v\u1edbi s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a deep learning v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng c\u1ee7a n\u00f3. Khi h\u1ecdc s\u00e2u ti\u1ebfp t\u1ee5c ph\u00e1t tri\u1ec3n, Keras d\u1ef1 ki\u1ebfn s\u1ebd k\u1ebft h\u1ee3p c\u00e1c k\u1ef9 thu\u1eadt v\u00e0 ki\u1ebfn tr\u00fac m\u1edbi \u0111\u1ec3 lu\u00f4n ph\u00f9 h\u1ee3p. M\u1ed9t s\u1ed1 ph\u00e1t tri\u1ec3n ti\u1ec1m n\u0103ng trong t\u01b0\u01a1ng lai c\u1ee7a Keras bao g\u1ed3m:<\/p>\n<ol>\n<li>\n<p><strong>Hi\u1ec7u su\u1ea5t \u0111\u01b0\u1ee3c c\u1ea3i thi\u1ec7n:<\/strong> Keras c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c h\u01b0\u1edfng l\u1ee3i t\u1eeb nh\u1eefng n\u1ed7 l\u1ef1c t\u1ed1i \u01b0u h\u00f3a li\u00ean t\u1ee5c, cho ph\u00e9p \u0111\u00e0o t\u1ea1o v\u00e0 suy lu\u1eadn nhanh h\u01a1n tr\u00ean c\u00e1c ki\u1ebfn tr\u00fac ph\u1ea7n c\u1ee9ng kh\u00e1c nhau.<\/p>\n<\/li>\n<li>\n<p><strong>T\u00edch h\u1ee3p AutoML:<\/strong> Vi\u1ec7c t\u00edch h\u1ee3p c\u00e1c k\u1ef9 thu\u1eadt h\u1ecdc m\u00e1y t\u1ef1 \u0111\u1ed9ng (AutoML) trong Keras c\u00f3 th\u1ec3 trao quy\u1ec1n cho ng\u01b0\u1eddi d\u00f9ng t\u1ef1 \u0111\u1ed9ng t\u00ecm ki\u1ebfm c\u00e1c ki\u1ebfn tr\u00fac m\u1ea1ng th\u1ea7n kinh t\u1ed1i \u01b0u.<\/p>\n<\/li>\n<li>\n<p><strong>H\u1ed7 tr\u1ee3 cho ki\u1ebfn tr\u00fac m\u1edbi:<\/strong> Khi c\u00e1c ki\u1ebfn tr\u00fac m\u1ea1ng th\u1ea7n kinh m\u1edbi xu\u1ea5t hi\u1ec7n, Keras \u0111\u01b0\u1ee3c k\u1ef3 v\u1ecdng s\u1ebd h\u1ed7 tr\u1ee3 c\u00e1c m\u00f4 h\u00ecnh n\u00e0y, m\u1edf r\u1ed9ng h\u01a1n n\u1eefa kh\u1ea3 n\u0103ng \u1ee9ng d\u1ee5ng c\u1ee7a n\u00f3 trong c\u00e1c l\u0129nh v\u1ef1c kh\u00e1c nhau.<\/p>\n<\/li>\n<li>\n<p><strong>Ti\u1ebfp t\u1ee5c h\u1ee3p t\u00e1c nghi\u00ean c\u1ee9u:<\/strong> Keras c\u00f3 kh\u1ea3 n\u0103ng duy tr\u00ec s\u1ef1 h\u1ee3p t\u00e1c ch\u1eb7t ch\u1ebd v\u1edbi c\u1ed9ng \u0111\u1ed3ng TensorFlow, thu \u0111\u01b0\u1ee3c l\u1ee3i \u00edch v\u00e0 \u0111\u00f3ng g\u00f3p v\u00e0o nh\u1eefng ti\u1ebfn b\u1ed9 trong l\u0129nh v\u1ef1c n\u00e0y.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi Keras<\/h2>\n<p>M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u00f3ng vai tr\u00f2 n\u00e2ng cao hi\u1ec7u su\u1ea5t c\u1ee7a c\u00e1c \u1ee9ng d\u1ee5ng Keras, \u0111\u1eb7c bi\u1ec7t trong c\u00e1c tr\u01b0\u1eddng h\u1ee3p truy c\u1eadp d\u1eef li\u1ec7u ho\u1eb7c cung c\u1ea5p m\u00f4 h\u00ecnh b\u1ecb h\u1ea1n ch\u1ebf do gi\u1edbi h\u1ea1n v\u1ec1 \u0111\u1ecba l\u00fd ho\u1eb7c m\u1ea1ng. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 m\u1ed9t s\u1ed1 c\u00e1ch c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng m\u00e1y ch\u1ee7 proxy v\u1edbi Keras:<\/p>\n<ol>\n<li>\n<p><strong>Truy c\u1eadp d\u1eef li\u1ec7u:<\/strong> Trong m\u1ed9t s\u1ed1 tr\u01b0\u1eddng h\u1ee3p nh\u1ea5t \u0111\u1ecbnh, d\u1eef li\u1ec7u \u0111\u1ec3 \u0111\u00e0o t\u1ea1o m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e2n ph\u1ed1i tr\u00ean c\u00e1c v\u1ecb tr\u00ed \u0111\u1ecba l\u00fd kh\u00e1c nhau. M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 cho ph\u00e9p truy xu\u1ea5t d\u1eef li\u1ec7u hi\u1ec7u qu\u1ea3 b\u1eb1ng c\u00e1ch l\u01b0u v\u00e0o b\u1ed9 nh\u1edb \u0111\u1ec7m v\u00e0 t\u0103ng t\u1ed1c truy c\u1eadp d\u1eef li\u1ec7u \u0111\u1ec3 c\u1ea3i thi\u1ec7n th\u1eddi gian \u0111\u00e0o t\u1ea1o.<\/p>\n<\/li>\n<li>\n<p><strong>C\u00e2n b\u1eb1ng t\u1ea3i:<\/strong> Trong c\u00e1c t\u00ecnh hu\u1ed1ng c\u00f3 l\u01b0u l\u01b0\u1ee3ng truy c\u1eadp cao, vi\u1ec7c tri\u1ec3n khai m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 gi\u00fap ph\u00e2n ph\u1ed1i c\u00e1c y\u00eau c\u1ea7u \u0111\u1ebfn nhi\u1ec1u m\u00e1y ch\u1ee7 do Keras cung c\u1ea5p, \u0111\u1ea3m b\u1ea3o s\u1eed d\u1ee5ng hi\u1ec7u qu\u1ea3 t\u00e0i nguy\u00ean m\u00e1y t\u00ednh v\u00e0 n\u00e2ng cao th\u1eddi gian ph\u1ea3n h\u1ed3i.<\/p>\n<\/li>\n<li>\n<p><strong>An ninh v\u00e0 s\u1ef1 ri\u00eang t\u01b0:<\/strong> M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u00f3ng vai tr\u00f2 trung gian gi\u1eefa ng\u01b0\u1eddi d\u00f9ng v\u00e0 \u1ee9ng d\u1ee5ng Keras, b\u1ed5 sung th\u00eam m\u1ed9t l\u1edbp b\u1ea3o m\u1eadt b\u1eb1ng c\u00e1ch che gi\u1ea5u IP m\u00e1y ch\u1ee7 th\u1ef1c t\u1ebf v\u00e0 b\u1ea3o v\u1ec7 d\u1eef li\u1ec7u nh\u1ea1y c\u1ea3m.<\/p>\n<\/li>\n<li>\n<p><strong>L\u1ecdc n\u1ed9i dung:<\/strong> M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 l\u1ecdc v\u00e0 h\u1ea1n ch\u1ebf quy\u1ec1n truy c\u1eadp v\u00e0o m\u1ed9t s\u1ed1 n\u1ed9i dung nh\u1ea5t \u0111\u1ecbnh, \u0111i\u1ec1u n\u00e0y c\u00f3 th\u1ec3 h\u1eefu \u00edch trong vi\u1ec7c ki\u1ec3m so\u00e1t quy\u1ec1n truy c\u1eadp v\u00e0o c\u00e1c m\u00f4 h\u00ecnh Keras ho\u1eb7c ph\u1ee5c v\u1ee5 c\u00e1c \u0111\u1ea7u ra c\u1ee5 th\u1ec3 d\u1ef1a tr\u00ean y\u00eau c\u1ea7u c\u1ee7a ng\u01b0\u1eddi d\u00f9ng.<\/p>\n<\/li>\n<\/ol>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<p>\u0110\u1ec3 bi\u1ebft th\u00eam th\u00f4ng tin v\u1ec1 Keras, b\u1ea1n c\u00f3 th\u1ec3 kh\u00e1m ph\u00e1 c\u00e1c t\u00e0i nguy\u00ean sau:<\/p>\n<ul>\n<li><a href=\"https:\/\/keras.io\/\" target=\"_new\" rel=\"noopener nofollow\">T\u00e0i li\u1ec7u v\u1ec1 m\u00e1y \u1ea3nh<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/keras-team\/keras\" target=\"_new\" rel=\"noopener nofollow\">Kho l\u01b0u tr\u1eef GitHub c\u1ee7a Keras<\/a><\/li>\n<li><a href=\"https:\/\/www.tensorflow.org\/\" target=\"_new\" rel=\"noopener nofollow\">Trang web ch\u00ednh th\u1ee9c c\u1ee7a TensorFlow<\/a><\/li>\n<li><a href=\"https:\/\/pytorch.org\/\" target=\"_new\" rel=\"noopener nofollow\">Trang web ch\u00ednh th\u1ee9c c\u1ee7a PyTorch<\/a><\/li>\n<li><a href=\"http:\/\/caffe.berkeleyvision.org\/\" target=\"_new\" rel=\"noopener nofollow\">Trang web ch\u00ednh th\u1ee9c c\u1ee7a Caffe<\/a><\/li>\n<\/ul>\n<p>T\u00f3m l\u1ea1i, Keras \u0111\u00e3 n\u1ed5i l\u00ean nh\u01b0 m\u1ed9t framework deep learning h\u00e0ng \u0111\u1ea7u, \u0111\u01b0\u1ee3c ng\u01b0\u1ee1ng m\u1ed9 v\u00ec t\u00ednh ch\u1ea5t th\u00e2n thi\u1ec7n v\u1edbi ng\u01b0\u1eddi d\u00f9ng v\u00e0 ch\u1ee9c n\u0103ng m\u1ea1nh m\u1ebd. S\u1ef1 t\u00edch h\u1ee3p li\u1ec1n m\u1ea1ch c\u1ee7a n\u00f3 v\u1edbi TensorFlow cung c\u1ea5p cho ng\u01b0\u1eddi d\u00f9ng m\u1ed9t n\u1ec1n t\u1ea3ng m\u1ea1nh m\u1ebd v\u00e0 linh ho\u1ea1t \u0111\u1ec3 x\u00e2y d\u1ef1ng v\u00e0 tri\u1ec3n khai m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh. Khi l\u0129nh v\u1ef1c h\u1ecdc s\u00e2u ti\u1ebfp t\u1ee5c ph\u00e1t tri\u1ec3n, Keras d\u1ef1 ki\u1ebfn s\u1ebd ph\u00e1t tri\u1ec3n c\u00f9ng v\u1edbi n\u00f3, lu\u00f4n \u0111i \u0111\u1ea7u trong \u0111\u1ed5i m\u1edbi v\u1ec1 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 h\u1ecdc m\u00e1y.<\/p>","protected":false},"featured_media":468725,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477761","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Keras: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What is Keras?","answer":"<p>Keras is an open-source deep learning framework written in Python. It is known for its user-friendliness and flexibility, making it a popular choice among researchers, developers, and data scientists for building and experimenting with neural networks.<\/p>"},{"question":"Who developed Keras and when was it released?","answer":"<p>Keras was developed by Fran\u00e7ois Chollet and was first released in March 2015.<\/p>"},{"question":"What are the key features of Keras?","answer":"<p>Keras offers several key features, including a user-friendly API, modularity for building complex neural networks, seamless integration with TensorFlow, and extensibility to customize models.<\/p>"},{"question":"What types of Keras are there?","answer":"<p>There are two main types of Keras: the standalone version, which existed before integration with TensorFlow, and the integrated version, known as <code>tf.keras<\/code>, which is the official version integrated into the TensorFlow library.<\/p>"},{"question":"How does Keras work internally?","answer":"<p>Keras follows a high-level API design, with three main components: the backend for executing computational operations, layers for building neural network components, and models to organize the layers into a cohesive structure.<\/p>"},{"question":"How can proxy servers be associated with Keras?","answer":"<p>Proxy servers can enhance the performance of Keras applications by facilitating efficient data retrieval, load balancing, security, and privacy measures, and content filtering.<\/p>"},{"question":"What are the future perspectives of Keras?","answer":"<p>The future of Keras is expected to see improved performance, potential integration with AutoML techniques, support for new architectures, and continued collaboration with the TensorFlow community.<\/p>"},{"question":"Where can I find more information about Keras?","answer":"<p>For more information about Keras, you can explore the official <a href=\"https:\/\/keras.io\/\" target=\"_new\">Keras documentation<\/a>, visit the <a href=\"https:\/\/github.com\/keras-team\/keras\" target=\"_new\">Keras GitHub repository<\/a>, and also check out the official websites of <a href=\"https:\/\/www.tensorflow.org\/\" target=\"_new\">TensorFlow<\/a>, <a href=\"https:\/\/pytorch.org\/\" target=\"_new\">PyTorch<\/a>, and <a href=\"http:\/\/caffe.berkeleyvision.org\/\" target=\"_new\">Caffe<\/a>.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477761","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477761\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468725"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=477761"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}