{"id":267224,"date":"2026-07-24T18:31:14","date_gmt":"2026-07-24T15:31:14","guid":{"rendered":"https:\/\/1kitap1.com\/en\/mathematical-foundations-of-deep-learning-pdf-xiaojing-ye\/"},"modified":"2026-07-24T18:31:14","modified_gmt":"2026-07-24T15:31:14","slug":"mathematical-foundations-of-deep-learning-pdf-xiaojing-ye","status":"publish","type":"post","link":"https:\/\/1kitap1.com\/en\/mathematical-foundations-of-deep-learning-pdf-xiaojing-ye\/","title":{"rendered":"Mathematical Foundations of Deep Learning PDF &#8211; Xiaojing Ye"},"content":{"rendered":"<div style=\"text-align:center; margin-bottom:30px;\">\n    <img decoding=\"async\" src=\"https:\/\/1kitap1.com\/en\/wp-content\/uploads\/2026\/07\/temp_Mathematical_Foundations_of_Deep_Learning_-_Xiaojing_Ye-1kitap1.com_.jpg\" alt=\"Mathematical Foundations of Deep Learning PDF Download\" style=\"max-width:300px; height:auto; border-radius:10px; box-shadow:0 10px 30px rgba(0,0,0,0.1);\" \/>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/1kitap1.com\/en\/mathematical-foundations-of-deep-learning-pdf-xiaojing-ye\/#About_Mathematical_Foundations_of_Deep_Learning\" >About Mathematical Foundations of Deep Learning<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/1kitap1.com\/en\/mathematical-foundations-of-deep-learning-pdf-xiaojing-ye\/#Book_Information\" >Book Information<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/1kitap1.com\/en\/mathematical-foundations-of-deep-learning-pdf-xiaojing-ye\/#About_the_Author\" >About the Author<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/1kitap1.com\/en\/mathematical-foundations-of-deep-learning-pdf-xiaojing-ye\/#PDF_Download_Section\" >PDF Download Section<\/a><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"About_Mathematical_Foundations_of_Deep_Learning\"><\/span>About Mathematical Foundations of Deep Learning<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Demystifying artificial intelligence requires a deep dive into vector calculus, linear algebra, and probability theory. In Mathematical Foundations of Deep Learning, Xiaojing Ye provides a rigorous mathematical breakdown of optimization algorithms and neural network convergence. The textbook bridges pure mathematics with practical deep learning frameworks. Graduate students and researchers reading the PDF version will gain theoretical clarity on gradient descent, loss landscapes, and generalization bounds.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Book_Information\"><\/span>Book Information<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<table style=\"width:100%; border-collapse: collapse; margin-bottom: 20px;\">\n<tr>\n<td style=\"width:30%;\"><strong>\ud83d\udcd6 Book Name:<\/strong><\/td>\n<td>Mathematical Foundations of Deep Learning<\/td>\n<\/tr>\n<tr>\n<td><strong>\u270d\ufe0f Author:<\/strong><\/td>\n<td>Xiaojing Ye<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udcc1 Category:<\/strong><\/td>\n<td><a href=\"https:\/\/1kitap1.com\/en\/category\/mathematics\/\" style=\"color:#0088cc; text-decoration:underline; font-weight:500;\">Mathematics<\/a>, <a href=\"https:\/\/1kitap1.com\/en\/category\/machine-learning\/\" style=\"color:#0088cc; text-decoration:underline; font-weight:500;\">Machine Learning<\/a>, <a href=\"https:\/\/1kitap1.com\/en\/category\/data-science\/\" style=\"color:#0088cc; text-decoration:underline; font-weight:500;\">Data Science<\/a>, <a href=\"https:\/\/1kitap1.com\/en\/category\/textbooks\/\" style=\"color:#0088cc; text-decoration:underline; font-weight:500;\">Textbooks<\/a>, <a href=\"https:\/\/1kitap1.com\/en\/category\/english\/\" style=\"color:#0088cc; text-decoration:underline; font-weight:500;\">English<\/a><\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udcc4 File Type:<\/strong><\/td>\n<td>PDF<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83c\udf0d Language:<\/strong><\/td>\n<td>English<\/td>\n<\/tr>\n<\/table>\n<h3><span class=\"ez-toc-section\" id=\"About_the_Author\"><\/span>About the Author<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Xiaojing Ye is a Mathematics and Data Science Professor whose research focuses on mathematical optimization, signal processing, and theoretical machine learning.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"PDF_Download_Section\"><\/span>PDF Download Section<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<div class=\"wp-block-buttons is-content-justification-center\" style=\"margin: 20px 0 40px 0;\">\n<div class=\"wp-block-button is-style-fill\">\n        <a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/1kitap1.com\/en\/wp-content\/uploads\/2026\/07\/Mathematical_Foundations_of_Deep_Learning_-_Xiaojing_Ye-1kitap1.com_.pdf\" target=\"_blank\" rel=\"noopener\" style=\"padding: 20px 40px; font-size: 20px; font-weight: bold; color: #ffffff; background-color: #0088cc; border-radius: 5px; text-decoration: none; display: inline-block;\"><br \/>\n            \ud83d\udce5 Download Mathematical Foundations of Deep Learning PDF (4.8 MB)<br \/>\n        <\/a>\n    <\/div>\n<\/div>\n<p><script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"Book\", \"name\": \"Mathematical Foundations of Deep Learning\", \"author\": {\"@type\": \"Person\", \"name\": \"Xiaojing Ye\"}, \"description\": \"Mathematical Foundations of Deep Learning by Xiaojing Ye PDF provides rigorous mathematical models underlying neural network architectures.\", \"image\": \"https:\/\/1kitap1.com\/en\/wp-content\/uploads\/2026\/07\/temp_Mathematical_Foundations_of_Deep_Learning_-_Xiaojing_Ye-1kitap1.com_.jpg\", \"genre\": [\"Mathematics\", \"Machine Learning\", \"Data Science\", \"Textbooks\", \"English\"], \"inLanguage\": \"English\"}<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>About Mathematical Foundations of Deep Learning Demystifying artificial intelligence requires a deep dive into vector calculus, linear algebra, and probability theory. In Mathematical Foundations of Deep Learning, Xiaojing Ye provides a rigorous mathematical breakdown of optimization algorithms and neural network convergence. The textbook bridges pure mathematics with practical deep learning frameworks. Graduate students and researchers [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":267223,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[880,8,11154,386,52768],"tags":[54669],"class_list":["post-267224","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science","category-english","category-machine-learning","category-mathematics","category-textbooks","tag-xiaojing-ye"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/posts\/267224","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/comments?post=267224"}],"version-history":[{"count":0,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/posts\/267224\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/media\/267223"}],"wp:attachment":[{"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/media?parent=267224"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/categories?post=267224"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/tags?post=267224"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}