TF Hub subsite layout

PiperOrigin-RevId: 203153860

docs/_book.yaml

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+upper_tabs:
+# Tabs left of dropdown menu
+- include: /_upper_tabs_left.yaml
+# Dropdown menu
+- name: Ecosystem
+  path: /ecosystem
+  is_default: True
+  menu:
+  - include: /ecosystem/_menu_toc.yaml
+  lower_tabs:
+    # Subsite tabs
+    other:
+    - name: Guide
+      contents:
+      - title: Overview
+        path: /hub/overview
+      - title: Installation
+        path: /hub/installation
+      - heading: Key Concepts
+      - title: Using a Module
+        path: /hub/basics
+      - title: Creating a New Module
+        path: /hub/creating
+      - title: Fine-Tuning
+        path: /hub/fine_tuning
+      - title: Hosting a Module
+        path: /hub/hosting
+      - heading: Tutorials
+      - title: Image Retraining
+        path: /hub/tutorials/image_retraining
+      - title: Text Classification
+        path: /hub/tutorials/text_classification_with_tf_hub
+      - heading: Common Signatures
+      - title: Overview
+        path: /hub/common_signatures/
+      - title: Common Signatures for Images
+        path: /hub/common_signatures/images
+      - title: Common Signatures for Text
+        path: /hub/common_signatures/text
+    - name: API
+      contents:
+      - include: /hub/api_docs/python/_toc.yaml
+    - name: Modules
+      contents:
+      - title: Overview
+        path: /hub/modules/
+      - title: Image Modules
+        path: /hub/modules/image
+      - title: Text Modules
+        path: /hub/modules/text
+      - title: Other Modules
+        path: /hub/modules/other
+      - include: /hub/modules/_toc.yaml

docs/_index.yaml

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+book_path: /hub/_book.yaml
+project_path: /hub/_project.yaml
+description: <!--no description-->
+landing_page:
+  custom_css_path: /site-assets/style.css
+  rows:
+  - heading: >
+      TensorFlow Hub is a library for reusable machine learning modules.
+    items:
+    - description: >
+        TensorFlow Hub is a library for the publication, discovery, and
+        consumption of reusable parts of machine learning models. A
+        <em>module</em> is a self-contained piece of a TensorFlow graph, along
+        with its weights and assets, that can be reused across different tasks in
+        a process known as transfer learning. Transfer learning can:
+        <ul style="padding-left: 20px;">
+          <li>Train a model with a smaller dataset,</li>
+          <li>Improve generalization, and</li>
+          <li>Speed up training.</li>
+        </ul>
+
+    - classname: tfo-landing-row-item-code-block
+      code_block: |
+        <pre class = "prettyprint">
+        import tensorflow as tf
+        import tensorflow_hub as hub
+
+        with tf.Graph().as_default():
+          module_url = "https://tfhub.dev/google/nnlm-en-dim128-with-normalization/1"
+          embed = hub.Module(module_url)
+          embeddings = embed(["A long sentence.", "single-word",
+                              "http://example.com"])
+
+          with tf.Session() as sess:
+            sess.run(tf.global_variables_initializer())
+            sess.run(tf.tables_initializer())
+
+            print(sess.run(embeddings))
+        </pre>
+
+  - classname: devsite-landing-row-cards
+    items:
+    - heading: Introducing TensorFlow Hub
+      image_path: /ecosystem/images/tf-logo-card-16x9.png
+      path: https://medium.com/tensorflow/introducing-tensorflow-hub-a-library-for-reusable-machine-learning-modules-in-tensorflow-cdee41fa18f9
+      buttons:
+      - label: Read on TensorFlow blog
+        path: https://medium.com/tensorflow/introducing-tensorflow-hub-a-library-for-reusable-machine-learning-modules-in-tensorflow-cdee41fa18f9
+    - heading: TensorFlow Hub at the Dev Summit
+      youtube_id: rirzJ-e68cw
+      buttons:
+      - label: Watch the video
+        path: https://www.youtube.com/watch?v=rirzJ-e68cw
+    - heading: TensorFlow Hub on GitHub
+      image_path: /ecosystem/images/github-card-16x9.png
+      path: https://github.com/tensorflow/hub
+      buttons:
+      - label: View on GitHub
+        path: https://github.com/tensorflow/hub

docs/_project.yaml

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+name: TensorFlow Hub
+breadcrumb_name: Hub
+home_url: /hub/
+parent_project_metadata_path: /_project.yaml
+description: >
+  TensorFlow Hub is a library for the publication, discovery, and consumption of
+  reusable parts of machine learning models.
+use_site_branding: True
+hide_from_products_list: True
+content_license: cc3-apache2
+buganizer_id: 321153

docs/overview.md

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+# TensorFlow Hub
+
+## Publishing on tfhub.dev
+
+Are you interested in publishing your modules on tfhub.dev? Express your
+interest via our [Publisher
+Survey](https://services.google.com/fb/forms/tensorflowhubpublishersurvey/). We
+appreciate your valuable feedback, and will be providing more information about
+publishing modules in the coming months. For now, please read our documentation
+about [Hosting a Module](hosting.md).
+
+## Fairness
+
+As in all of machine learning, [fairness](http://ml-fairness.com) is an
+[important](https://research.googleblog.com/2016/10/equality-of-opportunity-in-machine.html)
+consideration. Modules typically leverage large pretrained datasets. When
+reusing such a dataset, it’s important to be mindful of what data it contains
+(and whether there are any existing biases there), and how these might impact
+your downstream experiments.
+
+
+## Status
+
+Although we hope to prevent breaking changes, this project is still under active
+development and is not yet guaranteed to have a stable API or module format.
+
+
+## Security
+
+Since they contain arbitrary TensorFlow graphs, modules can be thought of as
+programs. [Using TensorFlow Securely](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md)
+describes the security implications of referencing a module from an untrusted
+source.
+
+
+## Source-Code & Bug Reports
+
+The source code is available on [GitHub](https://github.com/tensorflow/hub).
+Use [GitHub issues](https://github.com/tensorflow/hub/issues) for feature requests
+and bugs. Please see the [TensorFlow Hub mailing
+list](https://groups.google.com/a/tensorflow.org/forum/#!forum/hub) for general
+questions and discussion.