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id="tensorflow-extended-tfx-is-an-end-to-end-platform-for-deploying-production-ml-pipelines" data-text=" TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines "> TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines </h1> <div class="tensorsite-content__description"> <p>When you’re ready to move your models from research to production, use TFX to create and manage a production pipeline.</p> </div> </div> <div class="tensorsite-hero__buttons tensorsite-hero__buttons--fixed-width"> <a class="tensorsite-hero__button tensorsite-button" href="https://web.archive.org/web/20210414163336/https://colab.research.google.com/github/tensorflow/tfx/blob/master/docs/tutorials/tfx/components_keras.ipynb" target="_blank" rel="noopener"> Run Colab </a> <p class="tensorsite-hero__button-subtitle">This interactive tutorial walks through each built-in component of TFX.</p> <a class="tensorsite-hero__button tensorsite-button" href="/web/20210414163336/https://www.tensorflow.org/tfx/tutorials"> See tutorials </a> <p class="tensorsite-hero__button-subtitle">Tutorials show you how to use TFX with complete, end-to-end examples.</p> <a class="tensorsite-hero__button tensorsite-button" href="/web/20210414163336/https://www.tensorflow.org/tfx/guide"> See the guide </a> <p class="tensorsite-hero__button-subtitle">Guides explain the concepts and components of TFX.</p> </div> </div> <div class="tensorsite-hero__image"> <img src="/web/20210414163336im_/https://www.tensorflow.org/site-assets/images/marketing/learn/tfx-hero.svg" alt=""> </div> </div> <div class="tensorsite-column-list"> <div class="tensorsite-column-list__intro"> <h3 class="tensorsite-column-list__title" id="how-it-works" data-text=" How it works "> How it works </h3> <div class="tensorsite-column-list__description"> <p>A TFX pipeline is a sequence of components that implement an ML pipeline which is specifically designed for scalable, high-performance machine learning tasks. Components are built using TFX libraries which can also be used individually.</p> </div> </div> </div><devsite-iframe><iframe src="/web/20210414163336if_/https://www.tensorflow.org/tfx/index_b842463b3c40a21deef352a3d40545416469c7fbee84c6b040fc4c4a670d9eba.frame" class="framebox inherit-locale " allowfullscreen is-upgraded></iframe></devsite-iframe> <section class="tensorsite-group tensorsite-group--logos tensorsite-group--logos-wide" data-carousel-moving="8,4,2" data-carousel-movement="1,1,1"> <div class="tensorsite-container "> <div class="tensorsite-group__header"> <div class="tensorsite-content "> <h2 class="tensorsite-content__title tensorsite-content__title--grow" id="how-companies-are-using-tfx" data-text=" How companies are using TFX "> How companies are using TFX </h2> <div class="tensorsite-content__cta-wrapper "> <a href="/web/20210414163336/https://www.tensorflow.org/about/case-studies" class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--internal "> See case studies <span> </span></a> </div> </div> </div> <div class="tensorsite-group__inner"> <div class="tensorsite-block "> <a href="https://web.archive.org/web/20210414163336/https://labs.spotify.com/2020/01/16/for-your-ears-only-personalizing-spotify-home-with-machine-learning/" target="_blank" rel="noopener" class="tensorsite-block__image" style="background-image: url('/web/20210414163336im_/https://www.tensorflow.org/site-assets/images/marketing/home/logos/logo_train_64px_spotify.png')"> <span class="hidden-text">Spotify</span> </a> </div><div class="tensorsite-block "> <a href="https://web.archive.org/web/20210414163336/https://blog.tensorflow.org/2020/04/how-airbus-detects-anomalies-iss-telemetry-data-tfx.html" class="tensorsite-block__image" style="background-image: url('/web/20210414163336im_/https://www.tensorflow.org/site-assets/images/marketing/home/logos/logo_train_64px_airbus.png')"> <span class="hidden-text">Airbus</span> </a> </div><div class="tensorsite-block "> <a href="https://web.archive.org/web/20210414163336/https://security.googleblog.com/2020/02/improving-malicious-document-detection.html" target="_blank" rel="noopener" class="tensorsite-block__image" style="background-image: url('/web/20210414163336im_/https://www.tensorflow.org/site-assets/images/marketing/home/logos/logo_train_64px_gmail.png')"> <span class="hidden-text">Gmail</span> </a> </div><div class="tensorsite-block "> <a href="https://web.archive.org/web/20210414163336/https://blog.tensorflow.org/2021/02/how-openx-trains-and-serves-for-million-queries-per-second.html" class="tensorsite-block__image" style="background-image: url('/web/20210414163336im_/https://www.tensorflow.org/site-assets/images/marketing/home/logos/logo_openx.png')"> <span class="hidden-text">OpenX</span> </a> </div> </div> </div> <div class="tensorsite-group__divider"></div> </section> <section class="tensorsite-group tensorsite-group--3up "> <div class="tensorsite-container "> <div class="tensorsite-group__header"> <div class="tensorsite-content "> <h2 class="tensorsite-content__title " id="solutions-to-common-problems" data-text=" Solutions to common problems "> Solutions to common problems </h2> <div class="tensorsite-content__description"> <p>Explore step-by-step tutorials to help you with your projects.</p> </div> </div> </div> <div class="tensorsite-group__inner"> <div class="tensorsite-card tensorsite-card--clip "> <div class="tensorsite-content__image-wrapper"> <img class="tensorsite-content__image" src="/web/20210414163336im_/https://www.tensorflow.org/site-assets/images/marketing/cards/tile_tensorflow_serving.jpg" alt=""/> </div> <div class="tensorsite-content tensorsite-content--under-image"> <div class="tensorsite-content__clip-bg"> <svg class="tensorsite-content__clip-shape" xmlns="http://www.w3.org/2000/svg" viewbox="0 0 409 132"><path d="M71.2,3.2,0,44v88H409L92.3,1.8A24.1,24.1,0,0,0,71.2,3.2Z" fill="#fff"/></svg> </div> <div class="tensorsite-content__subtitle tensorsite-content__subtitle--thin "> Intermediate </div> <a class="tensorsite-content__title " href="/web/20210414163336/https://www.tensorflow.org/tfx/tutorials/serving/rest_simple"> Train and serve a TensorFlow model with TensorFlow Serving </a> <div class="tensorsite-content__description"> <p>This guide trains a neural network model to classify images of clothing, like sneakers and shirts, saves the trained model, and then serves it with TensorFlow Serving. The focus is on TensorFlow Serving, rather than the modeling and training in TensorFlow.</p> </div> </div> </div> <div class="tensorsite-card tensorsite-card--clip "> <div class="tensorsite-content__image-wrapper"> <img class="tensorsite-content__image" src="/web/20210414163336im_/https://www.tensorflow.org/site-assets/images/marketing/cards/tfx_platform_pipelines.jpg" alt=""/> </div> <div class="tensorsite-content tensorsite-content--under-image"> <div class="tensorsite-content__clip-bg"> <svg class="tensorsite-content__clip-shape" xmlns="http://www.w3.org/2000/svg" viewbox="0 0 409 132"><path d="M71.2,3.2,0,44v88H409L92.3,1.8A24.1,24.1,0,0,0,71.2,3.2Z" fill="#fff"/></svg> </div> <div class="tensorsite-content__subtitle tensorsite-content__subtitle--thin "> Intermediate </div> <a class="tensorsite-content__title " href="/web/20210414163336/https://www.tensorflow.org/tfx/tutorials/tfx/cloud-ai-platform-pipelines"> Create TFX pipelines hosted on Google Cloud </a> <div class="tensorsite-content__description"> <p>An introduction to TensorFlow Extended (TFX) and Cloud AI Platform Pipelines to create your own machine learning pipelines on Google Cloud. Follow a typical ML development process, starting by examining the dataset, and ending up with a complete working pipeline.</p> </div> </div> </div> <div class="tensorsite-card tensorsite-card--clip "> <div class="tensorsite-content__image-wrapper"> <img class="tensorsite-content__image" src="/web/20210414163336im_/https://www.tensorflow.org/site-assets/images/marketing/cards/tfx_for_mobile.jpg" alt=""/> </div> <div class="tensorsite-content tensorsite-content--under-image"> <div class="tensorsite-content__clip-bg"> <svg class="tensorsite-content__clip-shape" xmlns="http://www.w3.org/2000/svg" viewbox="0 0 409 132"><path d="M71.2,3.2,0,44v88H409L92.3,1.8A24.1,24.1,0,0,0,71.2,3.2Z" fill="#fff"/></svg> </div> <div class="tensorsite-content__subtitle tensorsite-content__subtitle--thin "> Intermediate </div> <a class="tensorsite-content__title " href="/web/20210414163336/https://www.tensorflow.org/tfx/tutorials/tfx/tfx_for_mobile"> Use TFX with TensorFlow Lite for on-device inference </a> <div class="tensorsite-content__description"> <p>Learn how TensorFlow Extended (TFX) can create and evaluate machine learning models that will be deployed on-device. TFX now provides native support for TFLite, which makes it possible to perform highly efficient inference on mobile devices.</p> </div> </div> </div> </div> </div> <div class="tensorsite-group__divider"></div> </section> <section class="tensorsite-group tensorsite-group--4up "> <div class="tensorsite-container "> <div class="tensorsite-group__header"> <div class="tensorsite-content "> <h2 class="tensorsite-content__title " id="news-announcements" data-text=" News & announcements "> News & announcements </h2> <div class="tensorsite-content__description"> <p>Check out our <a href="https://web.archive.org/web/20210414163336/https://blog.tensorflow.org/search?label=TFX&max-results=20">blog</a> and <a href="https://web.archive.org/web/20210414163336/https://goo.gle/tfx-youtube" target="_blank" rel="noopener">YouTube playlist</a> for additional TFX content, <br> and subscribe to our monthly TensorFlow newsletter to get the <br> latest announcements sent directly to your inbox.</p> </div> <div class="tensorsite-content__cta-wrapper "> <a href="https://web.archive.org/web/20210414163336/https://services.google.com/fb/forms/tensorflow/" target="_blank" rel="noopener" class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external "> Sign up <span> </span></a> </div> </div> </div> <div class="tensorsite-group__inner"> <div class="tensorsite-card "> <div class="tensorsite-content__image-wrapper"> <img class="tensorsite-content__image" src="/web/20210414163336im_/https://www.tensorflow.org/site-assets/images/marketing/cards/tile_logo_openx.png" alt=""/> </div> <div class="tensorsite-content tensorsite-content--under-image"> <div class="tensorsite-content__subtitle tensorsite-content__subtitle--thin tensorsite-content__subtitle-icon tensorsite-icon--blog "> February 15, 2021 <span> </span> </div> <a class="tensorsite-content__title " href="https://web.archive.org/web/20210414163336/https://blog.tensorflow.org/2021/02/how-openx-trains-and-serves-for-million-queries-per-second.html"> How OpenX Trains and Serves for a Million Queries per Second in under 15 Milliseconds </a> <div class="tensorsite-content__description"> <p>OpenX leveraged several products in the TensorFlow ecosystem & Google Cloud, including TF Serving and Kubeflow Pipelines, to build a service that prioritizes traffic to demand side platforms in the adtech space.</p> </div> <div class="tensorsite-content__cta-wrapper "> <a href="https://web.archive.org/web/20210414163336/https://blog.tensorflow.org/2021/02/how-openx-trains-and-serves-for-million-queries-per-second.html" tabindex="-1" class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--internal "> Read the blog <span> </span></a> </div> </div> </div> <div class="tensorsite-card "> <div class="tensorsite-content__image-wrapper"> <img class="tensorsite-content__image" src="/web/20210414163336im_/https://www.tensorflow.org/site-assets/images/marketing/cards/tile_ml_metadata.jpg" alt=""/> </div> <div class="tensorsite-content tensorsite-content--under-image"> <div class="tensorsite-content__subtitle tensorsite-content__subtitle--thin tensorsite-content__subtitle-icon tensorsite-icon--blog "> January 8, 2021 <span> </span> </div> <a class="tensorsite-content__title " href="https://web.archive.org/web/20210414163336/https://blog.tensorflow.org/2021/01/ml-metadata-version-control-for-ml.html"> ML Metadata: Version Control for ML </a> <div class="tensorsite-content__description"> <p>The complexity of ML code and artifacts like models, datasets, and much more requires version control. That’s why we built Machine Learning Metadata (MLMD), a library to track the full lineage of your entire ML workflow.</p> </div> <div class="tensorsite-content__cta-wrapper "> <a href="https://web.archive.org/web/20210414163336/https://blog.tensorflow.org/2021/01/ml-metadata-version-control-for-ml.html" tabindex="-1" class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--internal "> Read the blog <span> </span></a> </div> </div> </div> <div class="tensorsite-card tensorsite-card--video "> <button class="tensorsite-card__href devsite-dialog-button" data-modal-dialog-id="video-YeuvR6m6ACQ" aria-label="Watch the video"></button> <div class="tensorsite-content__image-wrapper"> <img class="tensorsite-content__image" src="/web/20210414163336im_/https://www.tensorflow.org/site-assets/images/marketing/cards/tile_ml-production-deployment.jpg" alt=""/> <svg class="tensorsite-content__image__play-button" width="96" height="96" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true"><defs><path d="M48 0C21.504 0 0 21.504 0 48s21.504 48 48 48 48-21.504 48-48S74.496 0 48 0z" id="b"/><filter x="-37.5%" y="-37.5%" width="175%" height="175%" filterunits="objectBoundingBox" id="a"><feoffset in="SourceAlpha" result="shadowOffsetOuter1"/><fegaussianblur stddeviation="12" in="shadowOffsetOuter1" result="shadowBlurOuter1"/><fecolormatrix values="0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.08 0" in="shadowBlurOuter1"/></filter><lineargradient x1="60.966%" y1="29.2%" x2="36.71%" y2="69.385%" id="c"><stop stop-color="#FF9100" offset="0%"/><stop stop-color="#FF6F00" offset="100%"/></lineargradient></defs><g fill-rule="nonzero" fill="none"><use fill="#000" filter="url(#a)" xlink:href="/web/20210414163336im_/https://www.tensorflow.org/tfx#b"/><use fill="#FFF" xlink:href="/web/20210414163336im_/https://www.tensorflow.org/tfx#b"/><path fill="url(#c)" d="M41 63V33l20 15z"/></g></svg> </div> <div class="tensorsite-content tensorsite-content--under-image"> <div class="tensorsite-content__subtitle tensorsite-content__subtitle--thin tensorsite-content__subtitle-icon tensorsite-icon--youtube "> December 3, 2020 <span> </span> </div> <a class="tensorsite-content__title "> ML engineering for production ML deployments with TFX </a> <div class="tensorsite-content__description"> <p>In this update we’ll cover TFX basics and highlight what's new this year to help you get started. We'll also show you a hands-on look at how to put together a production pipeline system with TFX.</p> </div> <div class="tensorsite-content__cta-wrapper "> <a tabindex="-1" class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--video " data-modal-dialog-id="video-YeuvR6m6ACQ" aria-label="Watch the video"> Watch the video <span> </span></a> </div> </div> </div> <div id="video-YeuvR6m6ACQ" class="devsite-dialog tensorsite-video-modal"> <div class="devsite-dialog-contents"> <iframe width="560" height="315" src="https://web.archive.org/web/20210414163336if_/https://www.youtube.com/embed/YeuvR6m6ACQ?rel=0&showinfo=0&playsinline=1" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> </div> <div class="devsite-dialog-buttons"> <button class="devsite-dialog-close">Cancel</button> <a href="#" class="button button-white">Continue</a> </div> </div> <div class="tensorsite-card "> <div class="tensorsite-content__image-wrapper"> <img class="tensorsite-content__image" src="/web/20210414163336im_/https://www.tensorflow.org/site-assets/images/marketing/cards/neural-structure-learning-in-tfx.png" alt=""/> </div> <div class="tensorsite-content tensorsite-content--under-image"> <div class="tensorsite-content__subtitle tensorsite-content__subtitle--thin tensorsite-content__subtitle-icon tensorsite-icon--blog "> October 9, 2020 <span> </span> </div> <a class="tensorsite-content__title " href="https://web.archive.org/web/20210414163336/https://blog.tensorflow.org/2020/10/neural-structured-learning-in-tfx.html"> Neural Structured Learning in TFX </a> <div class="tensorsite-content__description"> <p>Neural structured learning can be used to train neural networks with structured signals. Learn how to build a graph-regularized model with NSL in TFX using custom components and try it yourself in an interactive Colab.</p> </div> <div class="tensorsite-content__cta-wrapper "> <a href="https://web.archive.org/web/20210414163336/https://blog.tensorflow.org/2020/10/neural-structured-learning-in-tfx.html" tabindex="-1" class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--internal "> Read the blog <span> </span></a> </div> </div> </div> </div> </div> <div class="tensorsite-group__divider"></div> </section> <section class="tensorsite-group tensorsite-group--3up-small "> <div class="tensorsite-container "> <div class="tensorsite-group__header"> <div class="tensorsite-content "> <h2 class="tensorsite-content__title " id="community-participation" data-text=" Community participation "> Community participation </h2> <div class="tensorsite-content__description"> <p>See more ways to participate in the TensorFlow community.</p> </div> <div class="tensorsite-content__cta-wrapper "> <a href="/web/20210414163336/https://www.tensorflow.org/community" class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--internal "> Community <span> </span></a> </div> </div> </div> <div class="tensorsite-group__inner"> <div class="tensorsite-card "> <div class="tensorsite-content "> <a class="tensorsite-content__title tensorsite-icon tensorsite-icon--github tensorsite-content__title--grow" href="https://web.archive.org/web/20210414163336/https://github.com/google/ml-metadata" target="_blank" rel="noopener"> TFX on GitHub <span> </span> </a> <div class="tensorsite-content__cta-wrapper "> <a href="https://web.archive.org/web/20210414163336/https://github.com/google/ml-metadata" target="_blank" rel="noopener" tabindex="-1" class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external "> TensorFlow ML Metadata <span> </span></a> <a 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