Merge pull request #4542 from lamberta/get-started-index

Get started index

samples/core/get_started/_index.ipynb

+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "_index.ipynb",
+      "version": "0.3.2",
+      "views": {},
+      "default_view": {},
+      "provenance": []
+    }
+  },
+  "cells": [
+    {
+      "metadata": {
+        "id": "rX8mhOLljYeM",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "##### Copyright 2018 The TensorFlow Authors.\n",
+        "\n",
+        "Licensed under the Apache License, Version 2.0 (the \"License\");"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "BZSlp3DAjdYf",
+        "colab_type": "code",
+        "colab": {
+          "autoexec": {
+            "startup": false,
+            "wait_interval": 0
+          }
+        },
+        "cellView": "form"
+      },
+      "cell_type": "code",
+      "source": [
+        "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+        "# you may not use this file except in compliance with the License.\n",
+        "# You may obtain a copy of the License at\n",
+        "#\n",
+        "# https://www.apache.org/licenses/LICENSE-2.0\n",
+        "#\n",
+        "# Unless required by applicable law or agreed to in writing, software\n",
+        "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+        "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+        "# See the License for the specific language governing permissions and\n",
+        "# limitations under the License."
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "3wF5wszaj97Y",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# Get Started with TensorFlow"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "DUNzJc4jTj6G",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "<table align=\"left\"><td>\n",
+        "<a target=\"_blank\"  href=\"https://colab.sandbox.google.com/github/tensorflow/models/blob/master/samples/core/get_started/_index.ipynb\">\n",
+        "    <img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>  \n",
+        "</td><td>\n",
+        "<a target=\"_blank\"  href=\"https://github.com/tensorflow/models/blob/master/samples/core/get_started/_index.ipynb\"><img width=32px src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View source on Github</a></td></table>"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "hiH7AC-NTniF",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "This is a [Google Colaboratory](https://colab.sandbox.google.com/notebooks/welcome.ipynb) notebook file. Python programs are run directly in the browser—a great way to learn and use TensorFlow. To run the Colab notebook:\n",
+        "\n",
+        "1. Connect to a Python runtime: At the top-right of the menu bar, select *CONNECT*.\n",
+        "2. Run all the notebook code cells: Select *Runtime* > *Run all*.\n",
+        "\n",
+        "For more examples and guides (including details for this program), see [Get Started with TensorFlow](https://www.tensorflow.org/get_started/).\n",
+        "\n",
+        "Let's get started, import the TensorFlow library into your program:"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "0trJmd6DjqBZ",
+        "colab_type": "code",
+        "colab": {
+          "autoexec": {
+            "startup": false,
+            "wait_interval": 0
+          }
+        }
+      },
+      "cell_type": "code",
+      "source": [
+        "import tensorflow as tf"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "7NAbSZiaoJ4z",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "Load and prepare the [MNIST](http://yann.lecun.com/exdb/mnist/) dataset. Convert the samples from integers to floating-point numbers:"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "7FP5258xjs-v",
+        "colab_type": "code",
+        "colab": {
+          "autoexec": {
+            "startup": false,
+            "wait_interval": 0
+          }
+        }
+      },
+      "cell_type": "code",
+      "source": [
+        "mnist = tf.keras.datasets.mnist\n",
+        "\n",
+        "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n",
+        "x_train, x_test = x_train / 255.0, x_test / 255.0"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "BPZ68wASog_I",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "Build the `tf.keras` model by stacking layers. Select an optimizer and loss function used for training:"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "h3IKyzTCDNGo",
+        "colab_type": "code",
+        "colab": {
+          "autoexec": {
+            "startup": false,
+            "wait_interval": 0
+          }
+        }
+      },
+      "cell_type": "code",
+      "source": [
+        "model = tf.keras.models.Sequential([\n",
+        "  tf.keras.layers.Flatten(),\n",
+        "  tf.keras.layers.Dense(512, activation=tf.nn.relu),\n",
+        "  tf.keras.layers.Dropout(0.2),\n",
+        "  tf.keras.layers.Dense(10, activation=tf.nn.softmax)\n",
+        "])\n",
+        "\n",
+        "model.compile(optimizer='adam',\n",
+        "              loss='sparse_categorical_crossentropy',\n",
+        "              metrics=['accuracy'])"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "ix4mEL65on-w",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "Train and evaluate model:"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "F7dTAzgHDUh7",
+        "colab_type": "code",
+        "colab": {
+          "autoexec": {
+            "startup": false,
+            "wait_interval": 0
+          }
+        }
+      },
+      "cell_type": "code",
+      "source": [
+        "model.fit(x_train, y_train, epochs=5)\n",
+        "\n",
+        "model.evaluate(x_test, y_test)"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "T4JfEh7kvx6m",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "You’ve now trained an image classifier with ~98% accuracy on this dataset. See [Get Started with TensorFlow](https://www.tensorflow.org/get_started/) to learn more."
+      ]
+    }
+  ]
+}
\ No newline at end of file