{"id":33,"date":"2025-12-22T23:26:09","date_gmt":"2025-12-22T20:26:09","guid":{"rendered":"https:\/\/blogs.e-me-4all.eu\/Michalis_klk\/?page_id=33"},"modified":"2025-12-22T23:26:09","modified_gmt":"2025-12-22T20:26:09","slug":"%cf%8c%cf%81%ce%bf%ce%b9-%ce%ba%ce%bb%ce%b5%ce%b9%ce%b4%ce%b9%ce%ac","status":"publish","type":"page","link":"https:\/\/blogs.e-me-4all.eu\/Michalis_klk\/%cf%8c%cf%81%ce%bf%ce%b9-%ce%ba%ce%bb%ce%b5%ce%b9%ce%b4%ce%b9%ce%ac\/","title":{"rendered":"\u038c\u03c1\u03bf\u03b9-\u039a\u03bb\u03b5\u03b9\u03b4\u03b9\u03ac"},"content":{"rendered":"<div>\u03a3\u03b5 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03b5\u03bb\u03af\u03b4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03bf\u03c5\u03bc\u03b5 \u03b2\u03b1\u03c3\u03b9\u03ba\u03bf\u03cd\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03c4\u03c9\u03bd Neural Networks \u03bc\u03b5 \u03b1\u03c0\u03bb\u03ad\u03c2 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2.<\/div>\n<div><\/div>\n<div>\u2022 Neuron (\u039d\u03b5\u03c5\u03c1\u03ce\u03bd\u03b1\u03c2): \u039c\u03b9\u03ba\u03c1\u03ae \u201c\u03bc\u03bf\u03bd\u03ac\u03b4\u03b1\u201d \u03c0\u03bf\u03c5 \u03c0\u03b1\u03af\u03c1\u03bd\u03b5\u03b9 \u03b5\u03b9\u03c3\u03cc\u03b4\u03bf\u03c5\u03c2, \u03c4\u03b9\u03c2 \u03b6\u03c5\u03b3\u03af\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03b2\u03ac\u03c1\u03b7 \u03ba\u03b1\u03b9 \u03b2\u03b3\u03ac\u03b6\u03b5\u03b9 \u03ad\u03be\u03bf\u03b4\u03bf.<\/div>\n<div>\u2022 Layer (\u0395\u03c0\u03af\u03c0\u03b5\u03b4\u03bf): \u039f\u03bc\u03ac\u03b4\u03b1 \u03bd\u03b5\u03c5\u03c1\u03ce\u03bd\u03c9\u03bd. \u03a3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03ad\u03c7\u03bf\u03c5\u03bc\u03b5 input layer, hidden layer(s) \u03ba\u03b1\u03b9 output layer.<\/div>\n<div>\u2022 Weights (\u0392\u03ac\u03c1\u03b7): \u039f\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u039a\u03b1\u03b8\u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c0\u03cc\u03c3\u03bf \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03af\u03c3\u03bf\u03b4\u03bf\u03c2 \u03c4\u03b7\u03bd \u03ad\u03be\u03bf\u03b4\u03bf.<\/div>\n<div>\u2022 Bias: \u0395\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc\u03c2 \u03c0\u03bf\u03c5 \u03b2\u03bf\u03b7\u03b8\u03ac\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03c4\u03b7\u03bd \u03ad\u03be\u03bf\u03b4\u03bf.<\/div>\n<div>\u2022 Activation function: \u03a3\u03c5\u03bd\u03ac\u03c1\u03c4\u03b7\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf \u03b4\u03af\u03ba\u03c4\u03c5\u03bf \u03bc\u03b7-\u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03cc (\u03c0.\u03c7. ReLU, Sigmoid, Softmax).<\/div>\n<div>\u2022 Loss: \u039c\u03ad\u03c4\u03c1\u03bf \u03c4\u03bf\u03c5 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2 (\u03c0\u03cc\u03c3\u03bf \u03b1\u03c0\u03ad\u03c7\u03b5\u03b9 \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7).<\/div>\n<div>\u2022 Backpropagation: \u039f \u03c4\u03c1\u03cc\u03c0\u03bf\u03c2 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03bf\u03c0\u03bf\u03af\u03bf \u201c\u03b3\u03c5\u03c1\u03bd\u03ac\u03b5\u03b9 \u03c0\u03af\u03c3\u03c9\u201d \u03c4\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c4\u03b1 \u03b2\u03ac\u03c1\u03b7.<\/div>\n<div>\u2022 Epoch: \u0388\u03bd\u03b1 \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 \u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2 \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc \u03cc\u03bb\u03b1 \u03c4\u03b1 training \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1.<\/div>\n<div>\u2022 Overfitting: \u038c\u03c4\u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b1\u03c0\u03bf\u03c3\u03c4\u03b7\u03b8\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf training set \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03b5\u03b9 \u03c7\u03b5\u03b9\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 \u03c3\u03b5 \u03bd\u03ad\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1.<\/div>\n<div>\u2022 Regularization \/ Dropout: \u03a4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03b5\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf overfitting.<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u03a3\u03b5 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03b5\u03bb\u03af\u03b4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03bf\u03c5\u03bc\u03b5 \u03b2\u03b1\u03c3\u03b9\u03ba\u03bf\u03cd\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03c4\u03c9\u03bd Neural Networks \u03bc\u03b5 \u03b1\u03c0\u03bb\u03ad\u03c2 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2. \u2022 Neuron (\u039d\u03b5\u03c5\u03c1\u03ce\u03bd\u03b1\u03c2): \u039c\u03b9\u03ba\u03c1\u03ae \u201c\u03bc\u03bf\u03bd\u03ac\u03b4\u03b1\u201d \u03c0\u03bf\u03c5 \u03c0\u03b1\u03af\u03c1\u03bd\u03b5\u03b9 \u03b5\u03b9\u03c3\u03cc\u03b4\u03bf\u03c5\u03c2, \u03c4\u03b9\u03c2 \u03b6\u03c5\u03b3\u03af\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03b2\u03ac\u03c1\u03b7 \u03ba\u03b1\u03b9 \u03b2\u03b3\u03ac\u03b6\u03b5\u03b9 \u03ad\u03be\u03bf\u03b4\u03bf. \u2022 Layer (\u0395\u03c0\u03af\u03c0\u03b5\u03b4\u03bf): \u039f\u03bc\u03ac\u03b4\u03b1 \u03bd\u03b5\u03c5\u03c1\u03ce\u03bd\u03c9\u03bd. \u03a3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03ad\u03c7\u03bf\u03c5\u03bc\u03b5 input layer, hidden &hellip; <\/p>\n<div class=\"more-link-wrapper\"><a href=\"https:\/\/blogs.e-me-4all.eu\/Michalis_klk\/%cf%8c%cf%81%ce%bf%ce%b9-%ce%ba%ce%bb%ce%b5%ce%b9%ce%b4%ce%b9%ce%ac\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;\u038c\u03c1\u03bf\u03b9-\u039a\u03bb\u03b5\u03b9\u03b4\u03b9\u03ac&#8221;<\/span><\/a><\/div>\n","protected":false},"author":63269,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-33","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.e-me-4all.eu\/Michalis_klk\/wp-json\/wp\/v2\/pages\/33","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.e-me-4all.eu\/Michalis_klk\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.e-me-4all.eu\/Michalis_klk\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.e-me-4all.eu\/Michalis_klk\/wp-json\/wp\/v2\/users\/63269"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.e-me-4all.eu\/Michalis_klk\/wp-json\/wp\/v2\/comments?post=33"}],"version-history":[{"count":0,"href":"https:\/\/blogs.e-me-4all.eu\/Michalis_klk\/wp-json\/wp\/v2\/pages\/33\/revisions"}],"wp:attachment":[{"href":"https:\/\/blogs.e-me-4all.eu\/Michalis_klk\/wp-json\/wp\/v2\/media?parent=33"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}