{"id":2720,"date":"2023-05-15T05:08:26","date_gmt":"2023-05-15T05:08:26","guid":{"rendered":"http:\/\/example.com\/?p=733"},"modified":"2023-05-15T05:08:26","modified_gmt":"2023-05-15T05:08:26","slug":"733-umap-fashion-mnist","status":"publish","type":"post","link":"https:\/\/w1.geleleger.nl\/rtgsk-733-umap-fashion-mnist-unbrs\/","title":{"rendered":"Umap Fashion Mnist"},"content":{"rendered":"<div class=\"a1420ecab7e2234e1f4e9be5cee323bb\" data-index=\"1\" style=\"float: none; margin:10px 0 10px 0; text-align:center;\">\n<script type=\"text\/javascript\">\r\n\tatOptions = {\r\n\t\t'key' : '4a1f1119f949a4af74d56b8a3af8b867',\r\n\t\t'format' : 'iframe',\r\n\t\t'height' : 250,\r\n\t\t'width' : 300,\r\n\t\t'params' : {}\r\n\t};\r\n\tdocument.write('<scr' + 'ipt type=\"text\/javascript\" src=\"http' + (location.protocol === 'https:' ? 's' : '') + ':\/\/bleedingofficecontagion.com\/4a1f1119f949a4af74d56b8a3af8b867\/invoke.js\"><\/scr' + 'ipt>');\r\n<\/script>\n<\/div>\n\n<p><strong>Umap Fashion Mnist<\/strong>. <strong>With those in hand you can import the umap.plot package. import umap.plot Now that we have the package loaded, how do we use it? Each point in the embedding is rendered as the digit image, and coloured according to the digit class. UMAP on the MNIST Digits dataset. UMAP on the Fashion MNIST Digits dataset using Datashader \u00b6 This is a simple example of using UMAP on the Fashion-MNIST dataset. In this case it provides an exploration of UMAP run on the MNIST digits dataset. We can achieve this via the function umap.plot.points. The goal of this example is largely to demonstrate the use of datashader as an effective tool for visualising UMAP results. Since the images are more complex it provides a greater challenge than MNIST digits.<\/strong><\/p>\n<p><figure> \t\t<img decoding=\"async\" src=\"https:\/\/user-images.githubusercontent.com\/51887422\/63302806-b756a700-c2fb-11e9-9808-dd03c1966b50.JPG\" alt=\"GitHub - Sanjay-Leo\/Fashion-MNIST: Convolutional Neural Networks models ...\" style=\"width: 100%; padding: 5px; background-color: grey;\"><figcaption>GitHub &#8211; Sanjay-Leo\/Fashion-MNIST: Convolutional Neural Networks models &#8230; (Ryan Mathis)<\/figcaption><\/figure>\n<p> \t \t<strong>Umap Fashion Mnist<\/strong>. <strong>Additional Documentation: Explore on Papers With Code north_east Michael E. Note that UMAP manages to both group the individual digit classes, but also to retain the overall global structure among. Since the images are more complex it provides a greater challenge than MNIST digits. UMAP on the MNIST Digits dataset. Appointments with Janet may be made through Calendly.<\/strong> Umap Fashion Mnist. <\/p>\n<h3>Use the One Chart desktop portal.<\/h3>\n<p>The Riemannian metric is locally constant (or can be approximated as such); The manifold.<\/p>\n<div style=\"display: grid;grid-template-columns: auto auto auto; background: #eee; \">\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/img-blog.csdnimg.cn\/20191125192751864.png?x-oss-process=image\/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1RyaXBsZV9XREY=,size_16,color_FFFFFF,t_70\"><img decoding=\"async\" src=\"https:\/\/img-blog.csdnimg.cn\/20191125192751864.png?x-oss-process=image\/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1RyaXBsZV9XREY=,size_16,color_FFFFFF,t_70\" onerror=\"this.onerror=null;this.src='https:\/\/tse2.mm.bing.net\/th?id=OIP.tmtcpjheIuaieRd9acUWHwHaFj&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>MNIST\u3001Fashion-MNIST\u3001SmallNORB\u6570\u636e\u96c6\u4e0b\u8f7d\u4e0e\u8bfb\u53d6_pfeiKing\u7684\u535a\u5ba2-CSDN\u535a\u5ba2_mnist.pkl.gz \u4e0b\u8f7d<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/user-images.githubusercontent.com\/11962885\/31576785-202ef6e4-b0fa-11e7-9b03-c84ed56c9e92.png\"><img decoding=\"async\" src=\"https:\/\/user-images.githubusercontent.com\/11962885\/31576785-202ef6e4-b0fa-11e7-9b03-c84ed56c9e92.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse1.mm.bing.net\/th?id=OIP.lJCoW1ScfV-7DvOvutv5FgHaFA&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Evaluating dimensionality reduction? \u00b7 Issue #6 \u00b7 lmcinnes\/umap \u00b7 GitHub<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/cloudxlab.com\/blog\/wp-content\/uploads\/2019\/03\/sample-image-F-MNIST.png\"><img decoding=\"async\" src=\"https:\/\/cloudxlab.com\/blog\/wp-content\/uploads\/2019\/03\/sample-image-F-MNIST.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse4.mm.bing.net\/th?id=OIP.XnBjq4pe-XAtHUGE06k_yAAAAA&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Fashion-MNIST using Machine Learning | CloudxLab Blog<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<div style=\"display: grid;grid-template-columns: auto auto auto; background: #eee; \">\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/raw.githubusercontent.com\/zalandoresearch\/fashion-mnist\/master\/doc\/img\/f04ba662.png\"><img decoding=\"async\" src=\"https:\/\/raw.githubusercontent.com\/zalandoresearch\/fashion-mnist\/master\/doc\/img\/f04ba662.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse3.mm.bing.net\/th?id=OIP.utN5qPIS4orFzwZp_g_jAQHaGz&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Fashion Mnist<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/pic1.zhimg.com\/v2-a7402f171623ecff776a35862d76b390_r.jpg\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/v2-a7402f171623ecff776a35862d76b390_r.jpg\" onerror=\"this.onerror=null;this.src='https:\/\/tse2.mm.bing.net\/th?id=OIP.ay1F9ZV5as5aRxuRcZmvfwHaGj&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Fashion-MNIST\uff1a\u66ff\u4ee3MNIST\u624b\u5199\u6570\u5b57\u96c6\u7684\u56fe\u50cf\u6570\u636e\u96c6 &#8211; \u77e5\u4e4e<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/sanjayasubedi.com.np\/assets\/images\/deep-learning\/tf2\/fashion_mnist_predictions.png\"><img decoding=\"async\" src=\"https:\/\/sanjayasubedi.com.np\/assets\/images\/deep-learning\/tf2\/fashion_mnist_predictions.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse1.mm.bing.net\/th?id=OIP.tYctOol298Mtzq1wy40MTQAAAA&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Tensorflow 2: First Neural Network (Fashion MNIST dataset) &#8211; Sanjaya&#39;s Blog<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<div style=\"display: grid;grid-template-columns: auto auto auto; background: #eee; \">\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/www.researchgate.net\/publication\/343777454\/figure\/fig2\/AS:926775592890368@1597971928079\/Conditional-images-generated-by-a-CCVAE-b-CCapsVAE-c-CVAE-GAN-d-CVAE-e-CGAN_Q640.jpg\"><img decoding=\"async\" src=\"https:\/\/www.researchgate.net\/publication\/343777454\/figure\/fig2\/AS:926775592890368@1597971928079\/Conditional-images-generated-by-a-CCVAE-b-CCapsVAE-c-CVAE-GAN-d-CVAE-e-CGAN_Q640.jpg\" onerror=\"this.onerror=null;this.src='https:\/\/tse3.mm.bing.net\/th?id=OIP.jib391MuC16LFav_mO-jHQHaHa&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Quantitative results on MNIST and Fashion-MNIST | Download Scientific &#8230;<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/www.researchgate.net\/publication\/346766201\/figure\/fig4\/AS:966671690899458@1607483899984\/Visualizations-of-several-bad-losses-MNIST-LeCun-et-al-2010-is-a-useful-dataset-for_Q640.jpg\"><img decoding=\"async\" src=\"https:\/\/www.researchgate.net\/publication\/346766201\/figure\/fig4\/AS:966671690899458@1607483899984\/Visualizations-of-several-bad-losses-MNIST-LeCun-et-al-2010-is-a-useful-dataset-for_Q640.jpg\" onerror=\"this.onerror=null;this.src='https:\/\/tse3.mm.bing.net\/th?id=OIP.3USMqtijyYIp4ZLhN_6vUAHaHa&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Application of t-SNE, UMAP, TriMAP and PaCMAP to the MNIST dataset &#8230;<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/www.researchgate.net\/publication\/349159535\/figure\/fig2\/AS:989504231972874@1612927601937\/Synthetic-images-on-the-identical-MNIST-Fashion-dataset-a-c-e-and-MNIST-Font_Q320.jpg\"><img decoding=\"async\" src=\"https:\/\/www.researchgate.net\/publication\/349159535\/figure\/fig2\/AS:989504231972874@1612927601937\/Synthetic-images-on-the-identical-MNIST-Fashion-dataset-a-c-e-and-MNIST-Font_Q320.jpg\" onerror=\"this.onerror=null;this.src='https:\/\/tse2.mm.bing.net\/th?id=OIP.PFj8JWPD5TDoqdmNoCcZTQAAAA&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Additional synthetic images on the non-identical MNIST+Fashion dataset &#8230;<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<div style=\"display: grid;grid-template-columns: auto auto auto; background: #eee; \">\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/pyimagesearch.com\/wp-content\/uploads\/2021\/11\/DCGAN_Fashion-MNIST_header_corrected-do-not-smush.png\"><img decoding=\"async\" src=\"https:\/\/pyimagesearch.com\/wp-content\/uploads\/2021\/11\/DCGAN_Fashion-MNIST_header_corrected-do-not-smush.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse4.mm.bing.net\/th?id=OIP.MxCp79TGKbhdTo2e2mqUPAHaDt&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Get Started: DCGAN for Fashion-MNIST &#8211; PyImageSearch<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/user-images.githubusercontent.com\/51887422\/63302857-d7866600-c2fb-11e9-92f1-aacfe0dae20e.JPG\"><img decoding=\"async\" src=\"https:\/\/user-images.githubusercontent.com\/51887422\/63302857-d7866600-c2fb-11e9-92f1-aacfe0dae20e.JPG\" onerror=\"this.onerror=null;this.src='https:\/\/tse1.mm.bing.net\/th?id=OIP.tTH2RZ0puHax96K8r6QfeAHaFR&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>GitHub &#8211; Sanjay-Leo\/Fashion-MNIST: Convolutional Neural Networks models &#8230;<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/miro.medium.com\/max\/1400\/1*gENT6BciUf2x3PkktMH-1g.png\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/max\/1400\/1*gENT6BciUf2x3PkktMH-1g.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse3.mm.bing.net\/th?id=OIP.4VcYlVpX7tAcZDsqlxOscgHaDt&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>tSNE vs. UMAP: Global Structure. Why preservation of global structure &#8230;<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p><strong>Umap Fashion Mnist<\/strong>. <strong>Council Bluffs is a city in and the county seat of Pottawattamie County, Iowa, United States. In this case it provides an exploration of UMAP run on the MNIST digits dataset. We can load it in (after downloading the dataset) using the mnist library. Mamp uses historical methods and curatorial practice to unravel the hidden histories of American fashion and textiles of the twentieth century. Mamp. (he\/him) As a fashion historian, Dr.<\/p>\n<p><\/strong> Umap Fashion Mnist.<\/p>\n<div class=\"a1420ecab7e2234e1f4e9be5cee323bb\" data-index=\"2\" style=\"float: none; margin:10px 0 10px 0; text-align:center;\">\n<script type=\"text\/javascript\">\r\n\tatOptions = {\r\n\t\t'key' : '4a1f1119f949a4af74d56b8a3af8b867',\r\n\t\t'format' : 'iframe',\r\n\t\t'height' : 250,\r\n\t\t'width' : 300,\r\n\t\t'params' : {}\r\n\t};\r\n\tdocument.write('<scr' + 'ipt type=\"text\/javascript\" src=\"http' + (location.protocol === 'https:' ? 's' : '') + ':\/\/bleedingofficecontagion.com\/4a1f1119f949a4af74d56b8a3af8b867\/invoke.js\"><\/scr' + 'ipt>');\r\n<\/script>\n<\/div>\n\n<div style=\"font-size: 0px; height: 0px; line-height: 0px; margin: 0; padding: 0; clear: both;\"><\/div>","protected":false},"excerpt":{"rendered":"<p>Umap Fashion Mnist. With those in hand you can import the umap.plot package. import umap.plot Now that we have the package loaded, how do we use it? Each point in the embedding is rendered as the digit image, and coloured according to the digit class. UMAP on the MNIST Digits [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/posts\/2720"}],"collection":[{"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/comments?post=2720"}],"version-history":[{"count":0,"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/posts\/2720\/revisions"}],"wp:attachment":[{"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/media?parent=2720"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/categories?post=2720"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/tags?post=2720"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}