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class="tensorsite-group tensorsite-home-background" data-section-id="hero"> <div class="tensorsite-home-hero-wrapper"> </div> <div class="tensorsite-container tensorflow-container--redesign-margin tensorsite-home-hero"> <div class="tensorsite-home-hero__main-section"> <div class="tensorsite-home-hero__header"> <devsite-iframe><iframe src="https://www.tensorflow.org/frame/root_2a0e3d959d29c491dcb2794e8a49d963c41382f6bdfb80903cbd57de26ebca4c.frame" class="framebox inherit-locale " allow="clipboard-write https://tensorflow-dot-devsite-v2-prod-3p.appspot.com" allowfullscreen is-upgraded></iframe></devsite-iframe> </div> <div class="tensorsite-content tensorsite-content--center-on-mobile"> <div class="tensorsite-content__title tensorsite-content__title--grow"> An end-to-end platform for machine learning </div> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__button tensorsite-button" devsite="true" href="/install" item-id="Install TensorFlow"> Install TensorFlow </a> </div> </div> </div> <div class="tensorsite-home-hero__secondary-section"> <img aria-hidden="true" loading="lazy" role="presentation" src="/static/site-assets/images/marketing/learn/learn-hero.svg"> </div> </div> </section> <section class="tensorsite-adjacent-partials tensorsite-adjacent-partials--get-started-with-tf"> <div class="tensorsite-container tensorsite-container--redesign-margin"> <div class="tensorsite-adjacent-partials-wrapper"> <div class="tensorsite-adjacent-partials__main-section"> <div class="tensorsite-content tensorsite-content--center-on-mobile"> <h2 class="tensorsite-content__title" id="get-started-with-tensorflow" data-text=" Get started with TensorFlow " tabindex="-1"> Get started with TensorFlow </h2> <div class="tensorsite-content__description"> <inline-html> <p>TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-arrow-button tensorsite-content__cta-icon tensorsite-icon--redesign-arrow--small" devsite="true" href="/tutorials" item-id="View tutorials"> View tutorials <span> </span> </a> </div> </div> </div> <div class="tensorsite-adjacent-partials__secondary-section"> <div class="tensorsite-content"> <div class="tensorsite-content__code-block"> <div></div><devsite-code><pre class="devsite-click-to-copy" translate="no" dir="ltr" is-upgraded syntax="Python"><span class="devsite-syntax-kn">import</span> <span class="devsite-syntax-nn">tensorflow</span> <span class="devsite-syntax-k">as</span> <span class="devsite-syntax-nn">tf</span> <span class="devsite-syntax-n">mnist</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">tf</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">keras</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">datasets</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">mnist</span> <span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">x_train</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">y_train</span><span class="devsite-syntax-p">),(</span><span class="devsite-syntax-n">x_test</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">y_test</span><span class="devsite-syntax-p">)</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">mnist</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">load_data</span><span class="devsite-syntax-p">()</span> <span class="devsite-syntax-n">x_train</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">x_test</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">x_train</span> <span class="devsite-syntax-o">/</span> <span class="devsite-syntax-mf">255.0</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">x_test</span> <span class="devsite-syntax-o">/</span> <span class="devsite-syntax-mf">255.0</span> <span class="devsite-syntax-n">model</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">tf</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">keras</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">models</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">Sequential</span><span class="devsite-syntax-p">([</span> <span class="devsite-syntax-n">tf</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">keras</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">layers</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">Flatten</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">input_shape</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-mi">28</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-mi">28</span><span class="devsite-syntax-p">)),</span> <span class="devsite-syntax-n">tf</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">keras</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">layers</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">Dense</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-mi">128</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">activation</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'relu'</span><span class="devsite-syntax-p">),</span> <span class="devsite-syntax-n">tf</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">keras</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">layers</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">Dropout</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-mf">0.2</span><span class="devsite-syntax-p">),</span> <span class="devsite-syntax-n">tf</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">keras</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">layers</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">Dense</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-mi">10</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">activation</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'softmax'</span><span class="devsite-syntax-p">)</span> <span class="devsite-syntax-p">])</span> <span class="devsite-syntax-n">model</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">compile</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">optimizer</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'adam'</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">loss</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'sparse_categorical_crossentropy'</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">metrics</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-p">[</span><span class="devsite-syntax-s1">'accuracy'</span><span class="devsite-syntax-p">])</span> <span class="devsite-syntax-n">model</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">fit</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">x_train</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">y_train</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">epochs</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-mi">5</span><span class="devsite-syntax-p">)</span> <span class="devsite-syntax-n">model</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">evaluate</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">x_test</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">y_test</span><span class="devsite-syntax-p">)</span></pre></devsite-code> <div class="colab-callout-footer"> <a class="button tensorsite-content__cta-icon tensorsite-icon--colab" content-type="colab" href="https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/quickstart/beginner.ipynb" item-id="Run quickstart" rel="noopener" target="_blank"> Run quickstart <span> </span> </a> </div> </div> </div> </div> </div> </div> </section> <section 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