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diff --git a/tensorflow/docs_src/tutorials/_index.yaml b/tensorflow/docs_src/tutorials/_index.yaml new file mode 100644 index 0000000000..9534114689 --- /dev/null +++ b/tensorflow/docs_src/tutorials/_index.yaml @@ -0,0 +1,202 @@ +project_path: /_project.yaml +book_path: /_book.yaml +description: <!--no description--> +landing_page: + custom_css_path: /site-assets/css/style.css + show_side_navs: True + rows: + - description: > + <h1 class="hide-from-toc">Get Started with TensorFlow</h1> + <p> + TensorFlow is an open-source machine learning library for research and + production. TensorFlow offers APIs for beginners and experts to develop + for desktop, mobile, web, and cloud. See the sections below to get + started. + </p> + items: + - custom_html: > + <div class="devsite-landing-row-item-description"> + <h3 class="hide-from-toc">Learn and use ML</h3> + <div class="devsite-landing-row-item-description-content"> + <p> + The high-level Keras API provides building blocks to create and + train deep learning models. Start with these beginner-friendly + notebook examples, then read the + <a href="/guide/keras">TensorFlow Keras guide</a>. + </p> + <ol style="padding-left:20px;"> + <li><a href="./keras/basic_classification">Basic classification</a></li> + <li><a href="./keras/basic_text_classification">Text classification</a></li> + <li><a href="./keras/basic_regression">Regression</a></li> + <li><a href="./keras/overfit_and_underfit">Overfitting and underfitting</a></li> + <li><a href="./keras/save_and_restore_models">Save and load</a></li> + </ol> + </div> + <div class="devsite-landing-row-item-buttons" style="margin-top:0;"> + <a class="button button-primary tfo-button-primary" href="/guide/keras">Read the Keras guide</a> + </div> + </div> + - classname: tfo-landing-row-item-code-block + code_block: | + <pre class="prettyprint"> + import tensorflow as tf + mnist = tf.keras.datasets.mnist + + (x_train, y_train),(x_test, y_test) = mnist.load_data() + x_train, x_test = x_train / 255.0, x_test / 255.0 + + model = tf.keras.models.Sequential([ + tf.keras.layers.Flatten(), + tf.keras.layers.Dense(512, activation=tf.nn.relu), + tf.keras.layers.Dropout(0.2), + tf.keras.layers.Dense(10, activation=tf.nn.softmax) + ]) + model.compile(optimizer='adam', + loss='sparse_categorical_crossentropy', + metrics=['accuracy']) + + model.fit(x_train, y_train, epochs=5) + model.evaluate(x_test, y_test) + </pre> + {% dynamic if request.tld != 'cn' %} + <a class="colab-button" target="_blank" href="https://colab.research.google.com/github/tensorflow/models/blob/master/samples/core/get_started/_index.ipynb">Run in a <span>Notebook</span></a> + {% dynamic endif %} + + - items: + - custom_html: > + <div class="devsite-landing-row-item-description" style="border-right: 2px solid #eee;"> + <h3 class="hide-from-toc">Research and experimentation</h3> + <div class="devsite-landing-row-item-description-content"> + <p> + Eager execution provides an imperative, define-by-run interface for advanced operations. Write custom layers, forward passes, and training loops with auto‑differentiation. Start with + these notebooks, then read the <a href="/guide/eager">eager execution guide</a>. + </p> + <ol style="padding-left:20px;"> + <li> + {% dynamic if request.tld == 'cn' %} + <a href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/notebooks/eager_basics.ipynb" class="external">Eager execution basics</a> + {% dynamic else %} + <a href="https://colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/notebooks/eager_basics.ipynb" class="external">Eager execution basics</a> + {% dynamic endif %} + </li> + <li> + {% dynamic if request.tld == 'cn' %} + <a href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/notebooks/automatic_differentiation.ipynb" class="external">Automatic differentiation and gradient tape</a> + {% dynamic else %} + <a href="https://colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/notebooks/automatic_differentiation.ipynb" class="external">Automatic differentiation and gradient tape</a> + {% dynamic endif %} + </li> + <li> + {% dynamic if request.tld == 'cn' %} + <a href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/notebooks/custom_training.ipynb" class="external">Custom training: basics</a> + {% dynamic else %} + <a href="https://colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/notebooks/custom_training.ipynb" class="external">Custom training: basics</a> + {% dynamic endif %} + </li> + <li> + {% dynamic if request.tld == 'cn' %} + <a href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/notebooks/custom_layers.ipynb" class="external">Custom layers</a> + {% dynamic else %} + <a href="https://colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/notebooks/custom_layers.ipynb" class="external">Custom layers</a> + {% dynamic endif %} + </li> + <li><a href="./eager/custom_training_walkthrough">Custom training: walkthrough</a></li> + <li> + {% dynamic if request.tld == 'cn' %} + <a href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/nmt_with_attention/nmt_with_attention.ipynb" class="external">Example: Neural machine translation w/ attention</a> + {% dynamic else %} + <a href="https://colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/nmt_with_attention/nmt_with_attention.ipynb" class="external">Example: Neural machine translation w/ attention</a> + {% dynamic endif %} + </li> + </ol> + </div> + <div class="devsite-landing-row-item-buttons"> + <a class="button button-primary tfo-button-primary" href="/guide/eager">Read the eager execution guide</a> + </div> + </div> + - custom_html: > + <div class="devsite-landing-row-item-description"> + <h3 class="hide-from-toc">ML at production scale</h3> + <div class="devsite-landing-row-item-description-content"> + <p> + Estimators can train large models on multiple machines in a + production environment. TensorFlow provides a collection of + pre-made Estimators to implement common ML algorithms. See the + <a href="/guide/estimators">Estimators guide</a>. + </p> + <ol style="padding-left: 20px;"> + <li><a href="/tutorials/estimators/linear">Build a linear model with Estimators</a></li> + <li><a href="https://github.com/tensorflow/models/tree/master/official/wide_deep" class="external">Wide and deep learning with Estimators</a></li> + <li><a href="https://github.com/tensorflow/models/tree/master/official/boosted_trees" class="external">Boosted trees</a></li> + <li><a href="/hub/tutorials/text_classification_with_tf_hub">How to build a simple text classifier with TF-Hub</a></li> + <li><a href="/tutorials/estimators/cnn">Build a Convolutional Neural Network using Estimators</a></li> + </ol> + </div> + <div class="devsite-landing-row-item-buttons"> + <a class="button button-primary tfo-button-primary" href="/guide/estimators">Read the Estimators guide</a> + </div> + </div> + + - description: > + <h2 class="hide-from-toc">Google Colab: An easy way to learn and use TensorFlow</h2> + <p> + <a href="https://colab.research.google.com/notebooks/welcome.ipynb" class="external">Colaboratory</a> + is a Google research project created to help disseminate machine learning + education and research. It's a Jupyter notebook environment that requires + no setup to use and runs entirely in the cloud. + <a href="https://medium.com/tensorflow/colab-an-easy-way-to-learn-and-use-tensorflow-d74d1686e309" class="external">Read the blog post</a>. + </p> + + - description: > + <h2 class="hide-from-toc">Build your first ML app</h2> + <p>Create and deploy TensorFlow models on web and mobile.</p> + background: grey + items: + - custom_html: > + <div class="devsite-landing-row-item-description" style="background: #fff; padding:32px;"> + <a href="https://js.tensorflow.org"> + <h3 class="hide-from-toc">Web developers</h3> + </a> + <div class="devsite-landing-row-item-description-content"> + TensorFlow.js is a WebGL accelerated, JavaScript library to train and + deploy ML models in the browser and for Node.js. + </div> + </div> + - custom_html: > + <div class="devsite-landing-row-item-description" style="background: #fff; padding:32px;"> + <a href="/mobile/tflite/"> + <h3 class="hide-from-toc">Mobile developers</h3> + </a> + <div class="devsite-landing-row-item-description-content"> + TensorFlow Lite is lightweight solution for mobile and embedded devices. + </div> + </div> + + - description: > + <h2 class="hide-from-toc">Videos and updates</h2> + <p> + Subscribe to the TensorFlow + <a href="https://www.youtube.com/tensorflow" class="external">YouTube channel</a> + and <a href="https://blog.tensorflow.org" class="external">blog</a> for + the latest videos and updates. + </p> + items: + - description: > + <h3 class="hide-from-toc">Get started with TensorFlow's High-Level APIs</h3> + youtube_id: tjsHSIG8I08 + buttons: + - label: Watch the video + path: https://www.youtube.com/watch?v=tjsHSIG8I08 + - description: > + <h3 class="hide-from-toc">Eager execution</h3> + youtube_id: T8AW0fKP0Hs + background: grey + buttons: + - label: Watch the video + path: https://www.youtube.com/watch?v=T8AW0fKP0Hs + - description: > + <h3 class="hide-from-toc">tf.data: Fast, flexible, and easy-to-use input pipelines</h3> + youtube_id: uIcqeP7MFH0 + buttons: + - label: Watch the video + path: https://www.youtube.com/watch?v=uIcqeP7MFH0 |