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diff --git a/tensorflow/docs_src/tutorials/_index.yaml b/tensorflow/docs_src/tutorials/_index.yaml deleted file mode 100644 index 9534114689..0000000000 --- a/tensorflow/docs_src/tutorials/_index.yaml +++ /dev/null @@ -1,202 +0,0 @@ -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 |