Upgrade notebooks to TensorFlow 1.0.0

dezhili · Feb 17, 2017 · d526403 · d526403
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commit d526403
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Showing 43 changed files with 6,144 additions and 10,029 deletions.
diff --git a/02_end_to_end_machine_learning_project.ipynb b/02_end_to_end_machine_learning_project.ipynb
diff --git a/03_classification.ipynb b/03_classification.ipynb
diff --git a/04_training_linear_models.ipynb b/04_training_linear_models.ipynb
diff --git a/05_support_vector_machines.ipynb b/05_support_vector_machines.ipynb
diff --git a/06_decision_trees.ipynb b/06_decision_trees.ipynb
diff --git a/07_ensemble_learning_and_random_forests.ipynb b/07_ensemble_learning_and_random_forests.ipynb
diff --git a/08_dimensionality_reduction.ipynb b/08_dimensionality_reduction.ipynb
diff --git a/09_up_and_running_with_tensorflow.ipynb b/09_up_and_running_with_tensorflow.ipynb
diff --git a/10_introduction_to_artificial_neural_networks.ipynb b/10_introduction_to_artificial_neural_networks.ipynb
diff --git a/11_deep_learning.ipynb b/11_deep_learning.ipynb
diff --git a/12_distributed_tensorflow.ipynb b/12_distributed_tensorflow.ipynb
@@ -2,28 +2,40 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "**Chapter 12 – Distributed TensorFlow**"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "_This notebook contains all the sample code and solutions to the exercices in chapter 12._"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "# Setup"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "First, let's make sure this notebook works well in both python 2 and 3, import a few common modules, ensure MatplotLib plots figures inline and prepare a function to save the figures:"
    ]
@@ -32,7 +44,9 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -69,7 +83,10 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "# Local server"
    ]
@@ -78,7 +95,9 @@
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -89,7 +108,9 @@
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -101,7 +122,9 @@
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [
     {
@@ -119,7 +142,10 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "# Cluster"
    ]
@@ -128,7 +154,9 @@
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -148,7 +176,9 @@
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -161,7 +191,10 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "# Pinning operations across devices and servers"
    ]
@@ -170,7 +203,9 @@
    "cell_type": "code",
    "execution_count": 7,
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -190,7 +225,9 @@
    "cell_type": "code",
    "execution_count": 8,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [
     {
@@ -211,7 +248,9 @@
    "cell_type": "code",
    "execution_count": 9,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -239,26 +278,31 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "# Readers"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 10,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "No more files to read\n",
-      "[array([[ 7.,  8.],\n",
-      "       [ 4.,  5.]], dtype=float32), array([0, 1], dtype=int32)]\n",
-      "[array([[ 1.,  1.]], dtype=float32), array([0], dtype=int32)]\n",
+      "[array([[   4.        ,    5.        ],\n",
+      "       [   1.        , -508.17480469]], dtype=float32), array([1, 0], dtype=int32)]\n",
+      "[array([[ 7.,  8.]], dtype=float32), array([0], dtype=int32)]\n",
       "No more training instances\n"
      ]
     }
@@ -282,7 +326,7 @@
     "key, value = reader.read(filename_queue)\n",
     "\n",
     "x1, x2, target = tf.decode_csv(value, record_defaults=[[-1.], [-1.], [-1]])\n",
-    "features = tf.pack([x1, x2])\n",
+    "features = tf.stack([x1, x2])\n",
     "\n",
     "instance_queue = tf.RandomShuffleQueue(\n",
     "    capacity=10, min_after_dequeue=2,\n",
@@ -311,9 +355,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -326,25 +372,30 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "# Queue runners and coordinators"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 12,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[array([[ 7.,  8.],\n",
-      "       [ 4.,  5.]], dtype=float32), array([0, 1], dtype=int32)]\n",
-      "[array([[ 1.,  1.]], dtype=float32), array([0], dtype=int32)]\n",
+      "[array([[   1.        , -508.17480469],\n",
+      "       [   7.        ,    8.        ]], dtype=float32), array([0, 0], dtype=int32)]\n",
+      "[array([[ 4.,  5.]], dtype=float32), array([1], dtype=int32)]\n",
       "No more training instances\n"
      ]
     }
@@ -361,7 +412,7 @@
     "key, value = reader.read(filename_queue)\n",
     "\n",
     "x1, x2, target = tf.decode_csv(value, record_defaults=[[-1.], [-1.], [-1]])\n",
-    "features = tf.pack([x1, x2])\n",
+    "features = tf.stack([x1, x2])\n",
     "\n",
     "instance_queue = tf.RandomShuffleQueue(\n",
     "    capacity=10, min_after_dequeue=2,\n",
@@ -389,18 +440,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 13,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[array([[ 7.,  8.],\n",
-      "       [ 4.,  5.]], dtype=float32), array([0, 1], dtype=int32)]\n",
-      "[array([[ 1.,  1.]], dtype=float32), array([0], dtype=int32)]\n",
+      "[array([[   1.        , -508.17480469],\n",
+      "       [   4.        ,    5.        ]], dtype=float32), array([0, 1], dtype=int32)]\n",
+      "[array([[ 7.,  8.]], dtype=float32), array([0], dtype=int32)]\n",
       "No more training instances\n"
      ]
     }
@@ -412,7 +465,7 @@
     "    reader = tf.TextLineReader(skip_header_lines=1)\n",
     "    key, value = reader.read(filename_queue)\n",
     "    x1, x2, target = tf.decode_csv(value, record_defaults=[[-1.], [-1.], [-1]])\n",
-    "    features = tf.pack([x1, x2])\n",
+    "    features = tf.stack([x1, x2])\n",
     "    enqueue_instance = instance_queue.enqueue([features, target])\n",
     "    return enqueue_instance\n",
     "\n",
@@ -446,16 +499,21 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "# Setting a timeout"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [
     {
@@ -499,15 +557,20 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "deletable": true,
+    "editable": true
    },
    "source": [
     "# Exercise solutions"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "**Coming soon**"
    ]
@@ -516,7 +579,9 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": []
@@ -538,7 +603,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.1"
+   "version": "3.5.2+"
   },
   "nav_menu": {},
   "toc": {