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index.html
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<!doctype html>
<html style='font-size:15px !important'>
<head>
<meta charset='UTF-8'><meta name='viewport' content='width=device-width initial-scale=1'>
<title>README</title><link href='https://fonts.loli.net/css?family=Open+Sans:400italic,700italic,700,400&subset=latin,latin-ext' rel='stylesheet' type='text/css' /><style type='text/css'>html {overflow-x: initial !important;}:root { --bg-color:#ffffff; --text-color:#333333; --select-text-bg-color:#B5D6FC; --select-text-font-color:auto; --monospace:"Lucida Console",Consolas,"Courier",monospace; }
html { font-size: 14px; background-color: var(--bg-color); color: var(--text-color); font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; -webkit-font-smoothing: antialiased; }
body { margin: 0px; padding: 0px; height: auto; bottom: 0px; top: 0px; left: 0px; right: 0px; font-size: 1rem; line-height: 1.42857; overflow-x: hidden; background: inherit; tab-size: 4; }
iframe { margin: auto; }
a.url { word-break: break-all; }
a:active, a:hover { outline: 0px; }
.in-text-selection, ::selection { text-shadow: none; background: var(--select-text-bg-color); color: var(--select-text-font-color); }
#write { margin: 0px auto; height: auto; width: inherit; word-break: normal; overflow-wrap: break-word; position: relative; white-space: normal; overflow-x: visible; padding-top: 40px; }
#write.first-line-indent p { text-indent: 2em; }
#write.first-line-indent li p, #write.first-line-indent p * { text-indent: 0px; }
#write.first-line-indent li { margin-left: 2em; }
.for-image #write { padding-left: 8px; padding-right: 8px; }
body.typora-export { padding-left: 30px; padding-right: 30px; }
.typora-export .footnote-line, .typora-export li, .typora-export p { white-space: pre-wrap; }
@media screen and (max-width: 500px) {
body.typora-export { padding-left: 0px; padding-right: 0px; }
#write { padding-left: 20px; padding-right: 20px; }
.CodeMirror-sizer { margin-left: 0px !important; }
.CodeMirror-gutters { display: none !important; }
}
#write li > figure:last-child { margin-bottom: 0.5rem; }
#write ol, #write ul { position: relative; }
img { max-width: 100%; vertical-align: middle; image-orientation: from-image; }
button, input, select, textarea { color: inherit; font: inherit; }
input[type="checkbox"], input[type="radio"] { line-height: normal; padding: 0px; }
*, ::after, ::before { box-sizing: border-box; }
#write h1, #write h2, #write h3, #write h4, #write h5, #write h6, #write p, #write pre { width: inherit; }
#write h1, #write h2, #write h3, #write h4, #write h5, #write h6, #write p { position: relative; }
p { line-height: inherit; }
h1, h2, h3, h4, h5, h6 { break-after: avoid-page; break-inside: avoid; orphans: 4; }
p { orphans: 4; }
h1 { font-size: 2rem; }
h2 { font-size: 1.8rem; }
h3 { font-size: 1.6rem; }
h4 { font-size: 1.4rem; }
h5 { font-size: 1.2rem; }
h6 { font-size: 1rem; }
.md-math-block, .md-rawblock, h1, h2, h3, h4, h5, h6, p { margin-top: 1rem; margin-bottom: 1rem; }
.hidden { display: none; }
.md-blockmeta { color: rgb(204, 204, 204); font-weight: 700; font-style: italic; }
a { cursor: pointer; }
sup.md-footnote { padding: 2px 4px; background-color: rgba(238, 238, 238, 0.7); color: rgb(85, 85, 85); border-radius: 4px; cursor: pointer; }
sup.md-footnote a, sup.md-footnote a:hover { color: inherit; text-transform: inherit; text-decoration: inherit; }
#write input[type="checkbox"] { cursor: pointer; width: inherit; height: inherit; }
figure { overflow-x: auto; margin: 1.2em 0px; max-width: calc(100% + 16px); padding: 0px; }
figure > table { margin: 0px; }
tr { break-inside: avoid; break-after: auto; }
thead { display: table-header-group; }
table { border-collapse: collapse; border-spacing: 0px; width: 100%; overflow: auto; break-inside: auto; text-align: left; }
table.md-table td { min-width: 32px; }
.CodeMirror-gutters { border-right: 0px; background-color: inherit; }
.CodeMirror-linenumber { user-select: none; }
.CodeMirror { text-align: left; }
.CodeMirror-placeholder { opacity: 0.3; }
.CodeMirror pre { padding: 0px 4px; }
.CodeMirror-lines { padding: 0px; }
div.hr:focus { cursor: none; }
#write pre { white-space: pre-wrap; }
#write.fences-no-line-wrapping pre { white-space: pre; }
#write pre.ty-contain-cm { white-space: normal; }
.CodeMirror-gutters { margin-right: 4px; }
.md-fences { font-size: 0.9rem; display: block; break-inside: avoid; text-align: left; overflow: visible; white-space: pre; background: inherit; position: relative !important; }
.md-diagram-panel { width: 100%; margin-top: 10px; text-align: center; padding-top: 0px; padding-bottom: 8px; overflow-x: auto; }
#write .md-fences.mock-cm { white-space: pre-wrap; }
.md-fences.md-fences-with-lineno { padding-left: 0px; }
#write.fences-no-line-wrapping .md-fences.mock-cm { white-space: pre; overflow-x: auto; }
.md-fences.mock-cm.md-fences-with-lineno { padding-left: 8px; }
.CodeMirror-line, twitterwidget { break-inside: avoid; }
.footnotes { opacity: 0.8; font-size: 0.9rem; margin-top: 1em; margin-bottom: 1em; }
.footnotes + .footnotes { margin-top: 0px; }
.md-reset { margin: 0px; padding: 0px; border: 0px; outline: 0px; vertical-align: top; background: 0px 0px; text-decoration: none; text-shadow: none; float: none; position: static; width: auto; height: auto; white-space: nowrap; cursor: inherit; -webkit-tap-highlight-color: transparent; line-height: normal; font-weight: 400; text-align: left; box-sizing: content-box; direction: ltr; }
li div { padding-top: 0px; }
blockquote { margin: 1rem 0px; }
li .mathjax-block, li p { margin: 0.5rem 0px; }
li { margin: 0px; position: relative; }
blockquote > :last-child { margin-bottom: 0px; }
blockquote > :first-child, li > :first-child { margin-top: 0px; }
.footnotes-area { color: rgb(136, 136, 136); margin-top: 0.714rem; padding-bottom: 0.143rem; white-space: normal; }
#write .footnote-line { white-space: pre-wrap; }
@media print {
body, html { border: 1px solid transparent; height: 99%; break-after: avoid; break-before: avoid; font-variant-ligatures: no-common-ligatures; }
#write { margin-top: 0px; padding-top: 0px; border-color: transparent !important; }
.typora-export * { -webkit-print-color-adjust: exact; }
html.blink-to-pdf { font-size: 13px; }
.typora-export #write { padding-left: 32px; padding-right: 32px; padding-bottom: 0px; break-after: avoid; }
.typora-export #write::after { height: 0px; }
.is-mac table { break-inside: avoid; }
}
.footnote-line { margin-top: 0.714em; font-size: 0.7em; }
a img, img a { cursor: pointer; }
pre.md-meta-block { font-size: 0.8rem; min-height: 0.8rem; white-space: pre-wrap; background: rgb(204, 204, 204); display: block; overflow-x: hidden; }
p > .md-image:only-child:not(.md-img-error) img, p > img:only-child { display: block; margin: auto; }
#write.first-line-indent p > .md-image:only-child:not(.md-img-error) img { left: -2em; position: relative; }
p > .md-image:only-child { display: inline-block; width: 100%; }
#write .MathJax_Display { margin: 0.8em 0px 0px; }
.md-math-block { width: 100%; }
.md-math-block:not(:empty)::after { display: none; }
[contenteditable="true"]:active, [contenteditable="true"]:focus, [contenteditable="false"]:active, [contenteditable="false"]:focus { outline: 0px; box-shadow: none; }
.md-task-list-item { position: relative; list-style-type: none; }
.task-list-item.md-task-list-item { padding-left: 0px; }
.md-task-list-item > input { position: absolute; top: 0px; left: 0px; margin-left: -1.2em; margin-top: calc(1em - 10px); border: none; }
.math { font-size: 1rem; }
.md-toc { min-height: 3.58rem; position: relative; font-size: 0.9rem; border-radius: 10px; }
.md-toc-content { position: relative; margin-left: 0px; }
.md-toc-content::after, .md-toc::after { display: none; }
.md-toc-item { display: block; color: rgb(65, 131, 196); }
.md-toc-item a { text-decoration: none; }
.md-toc-inner:hover { text-decoration: underline; }
.md-toc-inner { display: inline-block; cursor: pointer; }
.md-toc-h1 .md-toc-inner { margin-left: 0px; font-weight: 700; }
.md-toc-h2 .md-toc-inner { margin-left: 2em; }
.md-toc-h3 .md-toc-inner { margin-left: 4em; }
.md-toc-h4 .md-toc-inner { margin-left: 6em; }
.md-toc-h5 .md-toc-inner { margin-left: 8em; }
.md-toc-h6 .md-toc-inner { margin-left: 10em; }
@media screen and (max-width: 48em) {
.md-toc-h3 .md-toc-inner { margin-left: 3.5em; }
.md-toc-h4 .md-toc-inner { margin-left: 5em; }
.md-toc-h5 .md-toc-inner { margin-left: 6.5em; }
.md-toc-h6 .md-toc-inner { margin-left: 8em; }
}
a.md-toc-inner { font-size: inherit; font-style: inherit; font-weight: inherit; line-height: inherit; }
.footnote-line a:not(.reversefootnote) { color: inherit; }
.md-attr { display: none; }
.md-fn-count::after { content: "."; }
code, pre, samp, tt { font-family: var(--monospace); }
kbd { margin: 0px 0.1em; padding: 0.1em 0.6em; font-size: 0.8em; color: rgb(36, 39, 41); background: rgb(255, 255, 255); border: 1px solid rgb(173, 179, 185); border-radius: 3px; box-shadow: rgba(12, 13, 14, 0.2) 0px 1px 0px, rgb(255, 255, 255) 0px 0px 0px 2px inset; white-space: nowrap; vertical-align: middle; }
.md-comment { color: rgb(162, 127, 3); opacity: 0.8; font-family: var(--monospace); }
code { text-align: left; vertical-align: initial; }
a.md-print-anchor { white-space: pre !important; border-width: initial !important; border-style: none !important; border-color: initial !important; display: inline-block !important; position: absolute !important; width: 1px !important; right: 0px !important; outline: 0px !important; background: 0px 0px !important; text-decoration: initial !important; text-shadow: initial !important; }
.md-inline-math .MathJax_SVG .noError { display: none !important; }
.html-for-mac .inline-math-svg .MathJax_SVG { vertical-align: 0.2px; }
.md-math-block .MathJax_SVG_Display { text-align: center; margin: 0px; position: relative; text-indent: 0px; max-width: none; max-height: none; min-height: 0px; min-width: 100%; width: auto; overflow-y: hidden; display: block !important; }
.MathJax_SVG_Display, .md-inline-math .MathJax_SVG_Display { width: auto; margin: inherit; display: inline-block !important; }
.MathJax_SVG .MJX-monospace { font-family: var(--monospace); }
.MathJax_SVG .MJX-sans-serif { font-family: sans-serif; }
.MathJax_SVG { display: inline; font-style: normal; font-weight: 400; line-height: normal; zoom: 90%; text-indent: 0px; text-align: left; text-transform: none; letter-spacing: normal; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: 0px; padding: 0px; margin: 0px; }
.MathJax_SVG * { transition: none 0s ease 0s; }
.MathJax_SVG_Display svg { vertical-align: middle !important; margin-bottom: 0px !important; margin-top: 0px !important; }
.os-windows.monocolor-emoji .md-emoji { font-family: "Segoe UI Symbol", sans-serif; }
.md-diagram-panel > svg { max-width: 100%; }
[lang="flow"] svg, [lang="mermaid"] svg { max-width: 100%; height: auto; }
[lang="mermaid"] .node text { font-size: 1rem; }
table tr th { border-bottom: 0px; }
video { max-width: 100%; display: block; margin: 0px auto; }
iframe { max-width: 100%; width: 100%; border: none; }
.highlight td, .highlight tr { border: 0px; }
svg[id^="mermaidChart"] { line-height: 1em; }
mark { background: rgb(255, 255, 0); color: rgb(0, 0, 0); }
.md-html-inline .md-plain, .md-html-inline strong, mark .md-inline-math, mark strong { color: inherit; }
mark .md-meta { color: rgb(0, 0, 0); opacity: 0.3 !important; }
:root {
--side-bar-bg-color: #fafafa;
--control-text-color: #777;
}
@include-when-export url(https://fonts.loli.net/css?family=Open+Sans:400italic,700italic,700,400&subset=latin,latin-ext);
/* open-sans-regular - latin-ext_latin */
/* open-sans-italic - latin-ext_latin */
/* open-sans-700 - latin-ext_latin */
/* open-sans-700italic - latin-ext_latin */
html {
font-size: 16px;
}
body {
font-family: "Open Sans","Clear Sans", "Helvetica Neue", Helvetica, Arial, sans-serif;
color: rgb(51, 51, 51);
line-height: 1.6;
}
#write {
max-width: 860px;
margin: 0 auto;
padding: 30px;
padding-bottom: 100px;
}
@media only screen and (min-width: 1400px) {
#write {
max-width: 1024px;
}
}
@media only screen and (min-width: 1800px) {
#write {
max-width: 1200px;
}
}
#write > ul:first-child,
#write > ol:first-child{
margin-top: 30px;
}
a {
color: #4183C4;
}
h1,
h2,
h3,
h4,
h5,
h6 {
position: relative;
margin-top: 1rem;
margin-bottom: 1rem;
font-weight: bold;
line-height: 1.4;
cursor: text;
}
h1:hover a.anchor,
h2:hover a.anchor,
h3:hover a.anchor,
h4:hover a.anchor,
h5:hover a.anchor,
h6:hover a.anchor {
text-decoration: none;
}
h1 tt,
h1 code {
font-size: inherit;
}
h2 tt,
h2 code {
font-size: inherit;
}
h3 tt,
h3 code {
font-size: inherit;
}
h4 tt,
h4 code {
font-size: inherit;
}
h5 tt,
h5 code {
font-size: inherit;
}
h6 tt,
h6 code {
font-size: inherit;
}
h1 {
padding-bottom: .3em;
font-size: 2.25em;
line-height: 1.2;
border-bottom: 1px solid #eee;
}
h2 {
padding-bottom: .3em;
font-size: 1.75em;
line-height: 1.225;
border-bottom: 1px solid #eee;
}
h3 {
font-size: 1.5em;
line-height: 1.43;
}
h4 {
font-size: 1.25em;
}
h5 {
font-size: 1em;
}
h6 {
font-size: 1em;
color: #777;
}
p,
blockquote,
ul,
ol,
dl,
table{
margin: 0.8em 0;
}
li>ol,
li>ul {
margin: 0 0;
}
hr {
height: 2px;
padding: 0;
margin: 16px 0;
background-color: #e7e7e7;
border: 0 none;
overflow: hidden;
box-sizing: content-box;
}
li p.first {
display: inline-block;
}
ul,
ol {
padding-left: 30px;
}
ul:first-child,
ol:first-child {
margin-top: 0;
}
ul:last-child,
ol:last-child {
margin-bottom: 0;
}
blockquote {
border-left: 4px solid #dfe2e5;
padding: 0 15px;
color: #777777;
}
blockquote blockquote {
padding-right: 0;
}
table {
padding: 0;
word-break: initial;
}
table tr {
border-top: 1px solid #dfe2e5;
margin: 0;
padding: 0;
}
table tr:nth-child(2n),
thead {
background-color: #f8f8f8;
}
table tr th {
font-weight: bold;
border: 1px solid #dfe2e5;
border-bottom: 0;
margin: 0;
padding: 6px 13px;
}
table tr td {
border: 1px solid #dfe2e5;
margin: 0;
padding: 6px 13px;
}
table tr th:first-child,
table tr td:first-child {
margin-top: 0;
}
table tr th:last-child,
table tr td:last-child {
margin-bottom: 0;
}
.CodeMirror-lines {
padding-left: 4px;
}
.code-tooltip {
box-shadow: 0 1px 1px 0 rgba(0,28,36,.3);
border-top: 1px solid #eef2f2;
}
.md-fences,
code,
tt {
border: 1px solid #e7eaed;
background-color: #f8f8f8;
border-radius: 3px;
padding: 0;
padding: 2px 4px 0px 4px;
font-size: 0.9em;
}
code {
background-color: #f3f4f4;
padding: 0 2px 0 2px;
}
.md-fences {
margin-bottom: 15px;
margin-top: 15px;
padding-top: 8px;
padding-bottom: 6px;
}
.md-task-list-item > input {
margin-left: -1.3em;
}
@media print {
html {
font-size: 13px;
}
table,
pre {
page-break-inside: avoid;
}
pre {
word-wrap: break-word;
}
}
.md-fences {
background-color: #f8f8f8;
}
#write pre.md-meta-block {
padding: 1rem;
font-size: 85%;
line-height: 1.45;
background-color: #f7f7f7;
border: 0;
border-radius: 3px;
color: #777777;
margin-top: 0 !important;
}
.mathjax-block>.code-tooltip {
bottom: .375rem;
}
.md-mathjax-midline {
background: #fafafa;
}
#write>h3.md-focus:before{
left: -1.5625rem;
top: .375rem;
}
#write>h4.md-focus:before{
left: -1.5625rem;
top: .285714286rem;
}
#write>h5.md-focus:before{
left: -1.5625rem;
top: .285714286rem;
}
#write>h6.md-focus:before{
left: -1.5625rem;
top: .285714286rem;
}
.md-image>.md-meta {
/*border: 1px solid #ddd;*/
border-radius: 3px;
padding: 2px 0px 0px 4px;
font-size: 0.9em;
color: inherit;
}
.md-tag {
color: #a7a7a7;
opacity: 1;
}
.md-toc {
margin-top:20px;
padding-bottom:20px;
}
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<div id='write' class = ''><h1><a name="ml-notes" class="md-header-anchor"></a><span>ML-notes</span></h1><p><a href='https://github.com/Sakura-gh/ML-notes/issues'><img src="https://img.shields.io/github/issues/Sakura-gh/ML-notes?color=ffa07a" referrerpolicy="no-referrer" alt="GitHub issues"></a><span> </span><a href='https://github.com/Sakura-gh/ML-notes/network'><img src="https://img.shields.io/github/forks/Sakura-gh/ML-notes?color=20b2aa" referrerpolicy="no-referrer" alt="GitHub forks"></a><span> </span><a href='https://github.com/Sakura-gh/ML-notes/stargazers'><img src="https://img.shields.io/github/stars/Sakura-gh/ML-notes?color=66cdaa" referrerpolicy="no-referrer" alt="GitHub stars"></a><span> </span><a href='https://github.com/Sakura-gh/ML-notes/blob/master/LICENSE'><img src="https://img.shields.io/github/license/Sakura-gh/ML-notes?color=88cff1" referrerpolicy="no-referrer" alt="GitHub license"></a></p><p><span>notes about machine learning</span></p><p><span>很喜欢一句话：</span><strong><span>应用之道，存乎一心</span></strong><span>，与大家共勉</span></p><p><span>ps：如果我的笔记对你有帮助，给个star叭！查看机器学习笔记的PDF订阅版(</span><strong><span>301页</span></strong><span>)以及更多计算机相关笔记，欢迎大家关注微信公众号"Sakura的知识库"~</span></p><center><img src="https://cdn.jsdelivr.net/gh/Sakura-gh/ML-notes/img/wx.jpg"></center><h5><a name="ml-assignments" class="md-header-anchor"></a><span>ML-Assignments</span></h5><p><span>ML配套Assignments (ppt+code)：</span><a href='https://github.com/Sakura-gh/ML-assignments' target='_blank' class='url'>https://github.com/Sakura-gh/ML-assignments</a></p><p><span>内容包括：Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning. </span></p><h5><a name="pages" class="md-header-anchor"></a><span>pages</span></h5><p><span>the github page is: </span><a href='https://Sakura-gh.github.io/ML-notes' target='_blank' class='url'>https://Sakura-gh.github.io/ML-notes</a></p><p><span>you can also visit gitee page for quicker Internet in China: </span><a href='https://Sakura-gh.gitee.io/ml-notes' target='_blank' class='url'>https://Sakura-gh.gitee.io/ml-notes</a></p><h5><a name="html链接" class="md-header-anchor"></a><span>html链接：</span></h5><p><a href=' https://sakura-gh.github.io/ML-notes/ML-notes-html/1_Introduction.html'><span>1_Introduction</span></a></p><p><a href=' https://sakura-gh.github.io/ML-notes/ML-notes-html/2_Regression-Case-Study.html'><span>2_Regression Case Study</span></a></p><p><a href=' https://sakura-gh.github.io/ML-notes/ML-notes-html/3_Regression-demo(Adagrad).html'><span>3_Regression demo(Adagrad)</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/4_Where-does-the-error-come-from.html'><span>4_Where does the error come from</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/5_Gradient-Descent.html'><span>5_Gradient Descent</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/6_Classification.html'><span>6_Classification</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/7_Logistic-Regression.html'><span>7_Logistic Regression</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/8_Deep-Learning.html'><span>8_Deep Learning</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/9_Backpropagation.html'><span>9_Backpropagation</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/10_Keras.html'><span>10_Keras</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/11_Convolutional-Neural-Network-part1.html'><span>11_Convolutional Neural Network part1</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/12_Convolutional-Neural-Network-part2.html'><span>12_Convolutional Neural Network part2</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/13_Tips-for-Deep-Learning.html'><span>13_Tips for Deep Learning</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/14_Why-Deep.html'><span>14_Why Deep</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/15_Semi-supervised-Learning.html'><span>15_Semi-supervised Learning</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/16_Unsupervised-Learning-Introduction.html'><span>16_Unsupervised Learning Introduction</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/17_Unsupervised-Learning-PCA-part1.html'><span>17_Unsupervised Learning PCA part1</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/18_Unsupervised-Learning-PCA-part2.html'><span>18_Unsupervised Learning PCA part2</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/19_Matrix-Factorization.html'><span>19_Matrix Factorization</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/20_Unsupervised-Learning-Word-Embedding.html'><span>20_Unsupervised Learning Word Embedding</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/21_Unsupervised-Learning-Neighbor-Embedding.html'><span>21_Unsupervised Learning Neighbor Embedding</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/22_Unsupervised-Learning-Deep-Auto-encoder.html'><span>22_Unsupervised Learning Deep Auto-encoder</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/23_Unsupervised-Generation.html'><span>23_Unsupervised Learning Generation</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/24_Transfer-Learning.html'><span>24_Transfer Learning</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/25_Support-Vector-Machine.html'><span>25_Support Vector Machine</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/26_Recurrent-Neural-Network-part1.html'><span>26_Recurrent Neural Network part1</span></a></p><p><a href='https://sakura-gh.github.io/ML-notes/ML-notes-html/27_Recurrent-Neural-Network-part2.html'><span>27_Recurrent Neural Network part2</span></a></p><h5><a name="csdn博客链接" class="md-header-anchor"></a><span>csdn博客链接：</span></h5><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104060561'><span>机器学习系列1-机器学习概念及介绍</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104071036'><span>机器学习系列2-回归案例研究</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104075986'><span>梯度下降代码举例：Gradient Descent Demo(Adagrad)</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104088554'><span>机器学习系列4-模型的误差来源及减少误差的方法</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104256006'><span>机器学习系列5-梯度下降法</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104272160'><span>机器学习系列6-分类问题(概率生成模型)</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104288916'><span>机器学习系列7-逻辑回归</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104299958'><span>机器学习系列8-深度学习简介</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104310991'><span>机器学习系列9-反向传播</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104328947'><span>机器学习系列10-手写数字识别(Keras2.0)</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104370738'><span>机器学习系列11-卷积神经网络CNN part1</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104392592'><span>机器学习系列12-卷积神经网络CNN part2</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104430737'><span>机器学习系列13-深度学习的技巧和优化方法</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/104452873'><span>机器学习系列14-为什么要做“深度”学习</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/106991717'><span>机器学习系列15-半监督学习</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/107029531'><span>机器学习系列16-无监督学习引言</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/107082637'><span>机器学习系列17-无监督学习之PCA推导(Ⅰ)</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/107082680'><span>机器学习系列18-无监督学习之PCA深入探讨(Ⅱ)</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/107099894'><span>机器学习系列19-矩阵分解&推荐系统初步</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/107168089'><span>机器学习系列20-无监督学习之词嵌入</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/107305230'><span>机器学习系列21-无监督学习之近邻嵌入</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/107305267'><span>机器学习系列22-无监督学习之自编码器</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/107305305'><span>机器学习系列23-无监督学习之生成模型</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/107305326'><span>机器学习系列24-迁移学习</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/107693177'><span>机器学习系列25-支持向量机</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/107693331'><span>机器学习系列26-循环神经网络RNN(Ⅰ)</span></a></p><p><a href='https://blog.csdn.net/weixin_44406200/article/details/107812374'><span>机器学习系列27-循环神经网络RNN(Ⅱ)</span></a></p><h5><a name="代码链接" class="md-header-anchor"></a><span>代码链接：</span></h5><p><a href=' https://sakura-gh.github.io/ML-notes/code/Gradient-Descent-Demo/Gradient-Descent-Demo.html'><span>Gradient Descent Demo(Adagrad)</span></a></p><p><a href='https://github.com/Sakura-gh/ML-notes/blob/master/code/Digits-Detection/digits-detection.py'><span>手写数字识别(Keras2.0)</span></a></p><p><a href='https://github.com/Sakura-gh/ML-notes/blob/master/code/Digits-Detection/digits-detection-cnn.py'><span>手写数字识别CNN实现(Keras2.0)</span></a></p><p><a href='https://github.com/Sakura-gh/ML-notes/blob/master/keras-tips.md'><span>Keras实战小经验</span></a></p><p><a href='https://github.com/Sakura-gh/ML-notes/blob/master/code/pytorch'><span>PyTorch简易入门</span></a></p><h5><a name="license" class="md-header-anchor"></a><span>LICENSE：</span></h5><p><span>GPL-2.0</span></p><h5><a name="温馨提示" class="md-header-anchor"></a><span>温馨提示：</span></h5><p><span>图片加载可能会有些许缓慢，请耐心等待</span><span>\</span><span>(</span><span>^</span><span>o</span><span>^</span><span>)/</span></p><h5><a name="赞赏作者" class="md-header-anchor"></a><span>赞赏作者：</span></h5><p><span>如果读后有收获，请作者喝杯咖啡吧，您的支持就是我最大的更新动力~ </span></p><center><img src="https://cdn.jsdelivr.net/gh/Sakura-gh/ML-notes/img/zs.png" width="60%"></center><h5><a name="pdf订阅版" class="md-header-anchor"></a><span>PDF订阅版：</span></h5><p><span>关注公众号“Sakura的知识库”可订阅：</span></p><center><img src="https://cdn.jsdelivr.net/gh/Sakura-gh/ML-notes/img/ml-book.png" width="80%"></center><h5><a name="ml-gpu" class="md-header-anchor"></a><span>ML GPU：</span></h5><center><a href="https://tracking.gitads.io/?repo=ML-notes"><img src="https://images.gitads.io/ML-notes" width="80%" alt="GitAds"></a></center></div>
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