--- title: A Hands-on Demo of Autoencoders | daily.dev description: Autoencoders are powerful tools in machine learning, useful for tasks such as dimensionality reduction, anomaly detection, data denoising, and detecting... canonical: https://daily.dev/posts/a-hands-on-demo-of-autoencoders-i0e81vtsk twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: A Hands-on Demo of Autoencoders | daily.dev og:description: Autoencoders are powerful tools in machine learning, useful for tasks such as dimensionality reduction, anomaly detection, data denoising, and detecting... og:url: https://daily.dev/posts/a-hands-on-demo-of-autoencoders-i0e81vtsk og:image: https://api.daily.dev/og/posts/i0e81vtsK.png og:image:alt: A Hands-on Demo of Autoencoders og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # A Hands-on Demo of Autoencoders **[Daily Dose of Data Science \| Avi Chawla \| Substack](https://daily.dev/sources/dailydoseofds)** · 4 min read · 17 upvotes · 1 comments ## Summary Autoencoders are powerful tools in machine learning, useful for tasks such as dimensionality reduction, anomaly detection, data denoising, and detecting multivariate covariate shifts. The post provides a hands-on demo using PyTorch Lightning to train an autoencoder, explaining the key components (encoder and decoder) and their roles. It highlights how to implement and train the model, alongside useful training optimizations like epoch and batch iteration, checkpoint saving, and multi-GPU support. Autoencoders are essential for addressing covariate shift problems in real-world ML models. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Community discussion Top comments from developers on daily.dev. **@nadia35** · 0 upvotes > Very useful, you can also consult https://github.com/ageron/handson-ml3 chapter 17 for more information on autoencoders, GANs and diffusion models and their implementation in tensorflow. It's also a good investment if you buy the book hands on ml by Aurélien Geron. --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#deep-learning](https://daily.dev/tags/deep-learning), [#pytorch](https://daily.dev/tags/pytorch) [View this post on daily.dev](https://daily.dev/posts/a-hands-on-demo-of-autoencoders-i0e81vtsk) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"A Hands-on Demo of Autoencoders","url":"https://daily.dev/posts/a-hands-on-demo-of-autoencoders-i0e81vtsk","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/a-hands-on-demo-of-autoencoders-i0e81vtsk"},"datePublished":"2024-11-18T20:24:18.362Z","dateModified":"2024-12-08T21:28:34.249Z","description":"Autoencoders are powerful tools in machine learning, useful for tasks such as dimensionality reduction, anomaly detection, data denoising, and detecting...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/578e9fa64842fefefabcf8671ad94713?_a=AQAEuj9","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/578e9fa64842fefefabcf8671ad94713?_a=AQAEuj9","isAccessibleForFree":true,"articleSection":"Daily Dose of Data Science | Avi Chawla | Substack","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Daily Dose of Data Science | Avi Chawla | Substack","logo":"https://media.daily.dev/image/upload/s--4IHQgTOw--/f_auto/v1710503712/logos/dailydoseofds","url":"https://daily.dev/sources/dailydoseofds"},"commentCount":1,"discussionUrl":"https://daily.dev/posts/a-hands-on-demo-of-autoencoders-i0e81vtsk","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":17},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":1}],"keywords":"machine-learning,data-science,deep-learning,pytorch","timeRequired":"PT4M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Daily Dose of Data Science | Avi Chawla | Substack","item":"https://daily.dev/sources/dailydoseofds"},{"@type":"ListItem","position":3,"name":"A Hands-on Demo of Autoencoders"}]} {"@context":"https://schema.org","@type":"WebPage","@id":"https://daily.dev/posts/a-hands-on-demo-of-autoencoders-i0e81vtsk","comment":[{"@type":"Comment","text":"Very useful, you can also consult https://github.com/ageron/handson-ml3 chapter 17 for more information on autoencoders, GANs and diffusion models and their implementation in tensorflow. It’s also a good investment if you buy the book hands on ml by Aurélien Geron.","datePublished":"2024-12-30T15:58:57.441Z","url":"https://daily.dev/posts/i0e81vtsK#c-PBQTc1Teq","author":{"@type":"Person","name":"Nadia","url":"https://daily.dev/nadia35","image":"https://media.daily.dev/image/upload/s--aBNJFoYb--/f_auto/v1727731859/avatars/avatar_b8XpippYSV0AqOltvoWEX"}}]} ```