Initial tensorflow io web page setup

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

docs/_index.yaml

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+# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# ==============================================================================
+project_path: /io/_project.yaml
+description: <!--no description-->
+landing_page:
+  custom_css_path: /site-assets/css/style.css
+  rows:
+    - heading: TensorFlow I/O provides useful extra Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO
+      items:
+        - classname: devsite-landing-row-50
+          description: >
+            TensorFlow I/O is a collection of file systems and file formats
+            that are not available in TensorFlow's built-in support.
+          code_block: |
+            <pre class = "prettyprint">
+            import tensorflow as tf
+            import tensorflow_io.mnist as mnist_io
+
+            # Read MNIST into tf.data.Dataset
+            d_train = mnist_io.MNISTDataset(
+              'train-images-idx3-ubyte.gz',
+              'train-labels-idx1-ubyte.gz',
+              batch=1)
+
+            # By default image data is uint8 so conver to float32.
+            d_train = d_train.map(lambda x, y: (tf.image.convert_image_dtype(x, tf.float32), y))
+
+            model = tf.keras.models.Sequential([
+              tf.keras.layers.Flatten(input_shape=(28, 28)),
+              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(d_train, epochs=5, steps_per_epoch=10000)
+
+            </pre>
+            {% dynamic if request.tld != 'cn' %}
+            {% dynamic endif %}
+    - classname: devsite-landing-row-cards
+      items:
+        - heading: "Introducing TensorFlow I/O"
+          image_path: /resources/images/tf-logo-card-16x9.png
+          path: https://medium.com/tensorflow/introducing-tensorflow-addons-6131a50a3dcf
+          buttons:
+            - label: "TensorFlow with Apache Arrow Datasets"
+              path: https://medium.com/tensorflow/tensorflow-with-apache-arrow-datasets-cdbcfe80a59f
+            - label: "How to build a custom Dataset for Tensorflow"
+              path: https://towardsdatascience.com/how-to-build-a-custom-dataset-for-tensorflow-1fe3967544d8
+            - label: "TensorFlow on Apache Ignite"
+              path: https://medium.com/tensorflow/tensorflow-on-apache-ignite-99f1fc60efeb
+        - heading: "TensorFlow I/O on GitHub"
+          image_path: /resources/images/github-card-16x9.png
+          path: https://github.com/tensorflow/io
+          buttons:
+            - label: "View on GitHub"
+              path: https://github.com/tensorflow/io

docs/_project.yaml

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+# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# ==============================================================================
+name: TensorFlow I/O
+breadcrumb_name: I/O
+home_url: /io/
+parent_project_metadata_path: /_project.yaml
+description: >
+  "TensorFlow I/O provides useful extra Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO"
+use_site_branding: true
+hide_from_products_list: true
+content_license: cc-apache
+include: /_project_included.yaml