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Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.</p> <p>If you need more flexibility, eager execution allows for immediate iteration and intuitive debugging. For large ML training tasks, use the Distribution Strategy API for distributed training on different hardware configurations without changing the model definition.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--internal" devsite="true" href="/guide/effective_tf2" item-id="Easy model building"> See resources <span> </span> </a> </div> </div> </div> <div class="tensorsite-side-side__secondary-section"> <div class="tensorsite-content__image-wrapper" style="background-image: url(/site-assets/images/marketing/cards/tile_looking-computer.jpg)"> <button aria-label="Watch the video" class="devsite-dialog-button tensorsite-play-button tensorsite-content__image__play-button" data-modal-dialog-id="video-modal--v-FgOACRgfs" item-id="Easy model building"> </button> </div> </div> </div> </div> <div class="devsite-dialog tensorsite-video-modal" id="video-modal--v-FgOACRgfs"> <div class="tensorsite-video-modal__buttons"> <button class="devsite-dialog-close"> <i class="material-icons" aria-hidden="true" translate="no"> close </i> </button> </div> <div class="devsite-dialog-contents"> <div class="video-wrapper-full-width"> <iframe allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="true" class="devsite-embedded-youtube-video" data-autohide="1" data-showinfo="0" data-video-id="v-FgOACRgfs" frameborder="0"> </iframe> </div> </div> </div> </section> <section class="tensorsite-side-side tensorsite-side-side--why-bg tensorsite-side-side--centered" data-section-id="ecosystem"> <div class="tensorsite-side-side__background"> </div> <div class="tensorsite-container"> <div class="tensorsite-side-side-wrapper tensorsite-side-side-wrapper--reverse"> <div class="tensorsite-side-side__main-section"> <div class="tensorsite-content"> <h3 class="tensorsite-content__title" id="robust-ml-production-anywhere" data-text=" Robust ML production anywhere " tabindex="-1"> Robust ML production anywhere </h3> <div class="tensorsite-content__description"> <inline-html> <p>TensorFlow has always provided a direct path to production. Whether it's on servers, edge devices, or the web, TensorFlow lets you train and deploy your model easily, no matter what language or platform you use.</p> <p>Use TFX if you need a full production ML pipeline. For running inference on mobile and edge devices, use TensorFlow Lite. Train and deploy models in JavaScript environments using TensorFlow.js.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--internal" href="/learn" item-id="Robust ML production anywhere"> See resources <span> </span> </a> </div> </div> </div> <div class="tensorsite-side-side__secondary-section"> <div class="tensorsite-content__image-wrapper" style="background-image: url(/site-assets/images/marketing/cards/tile_airbnb.jpg)"> <button aria-label="Watch the video" class="devsite-dialog-button tensorsite-play-button tensorsite-content__image__play-button" data-modal-dialog-id="video-modal--tPb2u9kwh2w" item-id="Robust ML production anywhere"> </button> </div> </div> </div> </div> <div class="devsite-dialog tensorsite-video-modal" id="video-modal--tPb2u9kwh2w"> <div class="tensorsite-video-modal__buttons"> <button class="devsite-dialog-close"> <i class="material-icons" aria-hidden="true" translate="no"> close </i> </button> </div> <div class="devsite-dialog-contents"> <div class="video-wrapper-full-width"> <iframe allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="true" class="devsite-embedded-youtube-video" data-autohide="1" data-showinfo="0" data-video-id="tPb2u9kwh2w" frameborder="0"> </iframe> </div> </div> </div> </section> <section class="tensorsite-side-side tensorsite-side-side--centered" data-section-id="ecosystem"> <div class="tensorsite-side-side__background"> </div> <div class="tensorsite-container"> <div class="tensorsite-side-side-wrapper"> <div class="tensorsite-side-side__main-section"> <div class="tensorsite-content"> <h3 class="tensorsite-content__title" id="powerful-experimentation-for-research" data-text=" Powerful experimentation for research " tabindex="-1"> Powerful experimentation for research </h3> <div class="tensorsite-content__description"> <inline-html> <p>Build and train state-of-the-art models without sacrificing speed or performance. TensorFlow gives you the flexibility and control with features like the Keras Functional API and Model Subclassing API for creation of complex topologies. For easy prototyping and fast debugging, use eager execution.</p> <p>TensorFlow also supports an ecosystem of powerful add-on libraries and models to experiment with, including Ragged Tensors, TensorFlow Probability, Tensor2Tensor and BERT.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--internal" devsite="true" href="/guide/effective_tf2" item-id="Powerful experimentation for research"> See resources <span> </span> </a> </div> </div> </div> <div class="tensorsite-side-side__secondary-section"> <div class="tensorsite-content__image-wrapper" style="background-image: url(/site-assets/images/marketing/cards/tile_why_nersc.jpg)"> <button aria-label="Watch the video" class="devsite-dialog-button tensorsite-play-button tensorsite-content__image__play-button" data-modal-dialog-id="video-modal--p45kQklIsd4" item-id="Powerful experimentation for research"> </button> </div> </div> </div> </div> <div class="tensorsite-group__divider"> </div> <div class="devsite-dialog tensorsite-video-modal" id="video-modal--p45kQklIsd4"> <div class="tensorsite-video-modal__buttons"> <button class="devsite-dialog-close"> <i class="material-icons" aria-hidden="true" translate="no"> close </i> </button> </div> <div class="devsite-dialog-contents"> <div class="video-wrapper-full-width"> <iframe allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="true" class="devsite-embedded-youtube-video" data-autohide="1" data-showinfo="0" data-video-id="p45kQklIsd4" frameborder="0"> </iframe> </div> </div> </div> </section> <section #="" analytics="" anchors="" class="tensorsite-group tensorsite-group--logos-small" data-section-id="case study" for=""> <div class="tensorsite-side-side__background"> </div> <div class="tensorsite-container"> <div class="tensorsite-group__header"> <div class="tensorsite-content"> <h2 class="tensorsite-content__title tensorsite-content__title--grow" id="see-how-companies-are-using-tensorflow" data-text=" See how companies are using TensorFlow " tabindex="-1"> See how companies are using TensorFlow </h2> </div> </div> <div class="tensorsite-group__inner"> <div class="tensorsite-block"> <div class="tensorsite-block__image" style="background-image: url('/site-assets/images/marketing/home/logos/logo_train_64px_airbnb.png')"> <span class="hidden-text"> Airbnb </span> </div> </div> <div class="tensorsite-block"> <div class="tensorsite-block__image" style="background-image: url('/site-assets/images/marketing/home/logos/logo_train_64px_coca_cola.png')"> <span class="hidden-text"> Coca Cola </span> </div> </div> <div class="tensorsite-block"> <div class="tensorsite-block__image" style="background-image: url('/site-assets/images/marketing/home/logos/logo_train_64px_deepmind.png')"> <span class="hidden-text"> Deepmind </span> </div> </div> <div class="tensorsite-block"> <div class="tensorsite-block__image" style="background-image: url('/site-assets/images/marketing/home/logos/logo_train_64px_gehealthcare.png')"> <span class="hidden-text"> GE Healthcare </span> </div> </div> <div class="tensorsite-block"> <div class="tensorsite-block__image" style="background-image: url('/site-assets/images/marketing/home/logos/logo_train_64px_google.png')"> <span class="hidden-text"> Google </span> </div> </div> <div class="tensorsite-block"> <div class="tensorsite-block__image" style="background-image: url('/site-assets/images/marketing/home/logos/logo_train_64px_intel.png')"> <span class="hidden-text"> Intel </span> </div> </div> <div class="tensorsite-block"> <div class="tensorsite-block__image" style="background-image: url('/site-assets/images/marketing/home/logos/logo_train_64px_nersc.png')"> <span class="hidden-text"> NERSC </span> </div> </div> <div class="tensorsite-block"> <div class="tensorsite-block__image" style="background-image: url('/site-assets/images/marketing/home/logos/logo_train_64px_twitter.png')"> <span class="hidden-text"> Twitter </span> </div> </div> </div> <div class="tensorsite-group__footer"> <div class="tensorsite-content"> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__button tensorsite-button" content-type="cta" href="/about/case-studies" item-id="See case studies"> See case studies </a> </div> </div> </div> </div> <div class="tensorsite-group__divider"> </div> </section> <section class="tensorsite-tab-group tensorsite-group--why-learn" data-section-id="learn ml"> <div class="tensorsite-container"> <div class="tensorsite-group__header"> <div class="tensorsite-content"> <h2 class="tensorsite-content__title" id="learn-how-machine-learning-works" data-text=" Learn how machine learning works " tabindex="-1"> Learn how machine learning works </h2> <div class="tensorsite-content__description"> <inline-html> <p>Did you ever want to know how a neural network works? Or what the steps are to solving an ML problem? Don't worry, we've got you covered. Below is a quick overview of the fundamentals of machine learning. Or, if you're looking for a more in-depth information, head to our education page for beginner and advanced content.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__button tensorsite-button" content-type="cta" href="/resources/learn-ml" item-id="Learn ML"> Learn ML </a> </div> </div> </div> <section class="tensorsite-top-tab" data-section-id="learn ml"> <input checked="checked" data-tab="" id="tab-1" name="tabs" type="radio"/> <input data-tab="" id="tab-2" name="tabs" type="radio"/> <input data-tab="" id="tab-3" name="tabs" type="radio"/> <input data-tab="" id="tab-4" name="tabs" type="radio"/> <div class="tensorsite-top-tab__tabs">  <label data-animation-1="" for="tab-1"> Intro to ML </label>  <label data-animation-2="" for="tab-2"> Steps to solving an ML problem </label>  <label data-animation-3="" for="tab-3"> Anatomy of a neural network </label>  <label data-animation-4="" for="tab-4"> Training a neural network </label> </div> <div class="tensorsite-top-tab__contents"> <div class="tensorsite-top-tab__content"> <div class="tensorsite-top-tab__content--inner"> <div class="tensorsite-top-tab__content__text"> <div class="tensorsite-content"> <h3 class="tensorsite-content__title" id="intro-to-ml" data-text=" Intro to ML " tabindex="-1"> Intro to ML </h3> <div class="tensorsite-content__description"> <inline-html> <p>Machine learning is the practice of helping software perform a task without explicit programming or rules. With traditional computer programming, a programmer specifies rules that the computer should use. ML requires a different mindset, though. Real-world ML focuses far more on data analysis than coding. Programmers provide a set of examples and the computer learns patterns from the data. You can think of machine learning as “programming with data”.</p> </inline-html> </div> </div> </div> <div class="tensorsite-top-tab__image" style="background-image: url(/site-assets/images/marketing/why/tab/how_ml_works_tab1_graphic.png)"> </div> </div> </div> <div class="tensorsite-top-tab__content"> <div class="tensorsite-top-tab__content--inner"> <div class="tensorsite-top-tab__content__text"> <div class="tensorsite-content"> <h3 class="tensorsite-content__title" id="steps-to-solving-an-ml-problem" data-text=" Steps to solving an ML problem " tabindex="-1"> Steps to solving an ML problem </h3> <div class="tensorsite-content__description"> <inline-html> <p>There are multiple steps in the process of getting answers from data using ML. For a step-by-step overview, check out this <a href="https://developers.google.com/machine-learning/guides/text-classification/" item-id="Steps to solving an ML problem" rel="noopener" target="_blank">guide</a> that shows the complete workflow for text classification, and describes important steps like collecting a dataset, and training and evaluating a model with TensorFlow.</p> </inline-html> </div> </div> </div> <div class="tensorsite-top-tab__image" style="background-image: url(/site-assets/images/marketing/why/tab/how_ml_works_tab2_graphic.png)"> </div> </div> </div> <div class="tensorsite-top-tab__content"> <div class="tensorsite-top-tab__content--inner"> <div class="tensorsite-top-tab__content__text"> <div class="tensorsite-content"> <h3 class="tensorsite-content__title" id="anatomy-of-a-neural-network" data-text=" Anatomy of a neural network " tabindex="-1"> Anatomy of a neural network </h3> <div class="tensorsite-content__description"> <inline-html> <p>A neural network is a type of model that can be trained to recognize patterns. It is composed of layers, including input and output layers, and at least one <a href="https://developers.google.com/machine-learning/glossary/#hidden_layer" item-id="Anatomy of a neural network" target="_blank">hidden layer</a>. Neurons in each layer learn increasingly abstract representations of the data. For example, in this visual diagram we see neurons detecting lines, shapes, and textures. These representations (or learned features) make it possible to classify the data.</p> </inline-html> </div> </div> </div> <div class="tensorsite-top-tab__image" style="background-image: url(/site-assets/images/marketing/why/tab/how_ml_works_tab3_graphic.png)"> </div> </div> </div> <div class="tensorsite-top-tab__content"> <div class="tensorsite-top-tab__content--inner"> <div class="tensorsite-top-tab__content__text"> <div class="tensorsite-content"> <h3 class="tensorsite-content__title" id="training-a-neural-network" data-text=" Training a neural network " tabindex="-1"> Training a neural network </h3> <div class="tensorsite-content__description"> <inline-html> <p>Neural networks are trained by gradient descent. The weights in each layer begin with random values, and these are iteratively improved over time to make the network more accurate. A loss function is used to quantify how inaccurate the network is, and a procedure called backpropagation is used to determine whether each weight should be increased, or decreased, to reduce the loss.</p> </inline-html> </div> </div> </div> <div class="tensorsite-top-tab__image" style="background-image: url(/site-assets/images/marketing/why/tab/how_ml_works_tab4_graphic.gif)"> </div> </div> </div> </div> </section> </div> </section> <section #="" analytics="" anchors="" class="tensorsite-group" data-section-id="news" for=""> <div class="tensorsite-side-side__background"> </div> <div class="tensorsite-container"> <div class="tensorsite-group__header"> <div class="tensorsite-content"> <h2 class="tensorsite-content__title" id="our-community" data-text=" Our community " tabindex="-1"> Our community </h2> <div class="tensorsite-content__description"> <inline-html> <p>The TensorFlow community is an active group of developers, researchers, visionaries, tinkerers and problem solvers. 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