diff --git a/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb b/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb
index 2e28a0c..8d70ee2 100644
--- a/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb
+++ b/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb
@@ -230,7 +230,7 @@
    "outputs": [],
    "source": [
     "# Initializing the variables\n",
-    "init = tf.initialize_all_variables()"
+    "init = tf.global_variables_initializer()"
    ]
   },
   {
@@ -337,7 +337,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.5+"
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,
diff --git a/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/convolutional_network.ipynb b/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/convolutional_network.ipynb
index 967550a..38b4cda 100644
--- a/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/convolutional_network.ipynb
+++ b/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/convolutional_network.ipynb
@@ -213,7 +213,7 @@
    "outputs": [],
    "source": [
     "# Initializing the variables\n",
-    "init = tf.initialize_all_variables()"
+    "init = tf.global_variables_initializer()"
    ]
   },
   {
@@ -313,7 +313,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.5+"
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,
diff --git a/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/multilayer_perceptron.ipynb b/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/multilayer_perceptron.ipynb
index f925827..692c694 100644
--- a/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/multilayer_perceptron.ipynb
+++ b/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/multilayer_perceptron.ipynb
@@ -165,7 +165,7 @@
    "outputs": [],
    "source": [
     "# Initializing the variables\n",
-    "init = tf.initialize_all_variables()"
+    "init = tf.global_variables_initializer()"
    ]
   },
   {
@@ -231,21 +231,21 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 2",
    "language": "python",
-   "name": "python3"
+   "name": "python2"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 3
+    "version": 2
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.4.3"
+   "pygments_lexer": "ipython2",
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,
diff --git a/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/recurrent_network.ipynb b/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/recurrent_network.ipynb
index 41e3e1f..dfe9e74 100644
--- a/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/recurrent_network.ipynb
+++ b/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/recurrent_network.ipynb
@@ -236,7 +236,7 @@
    ],
    "source": [
     "# Initializing the variables\n",
-    "init = tf.initialize_all_variables()\n",
+    "init = tf.global_variables_initializer()\n",
     "\n",
     "# Launch the graph\n",
     "with tf.Session() as sess:\n",
@@ -286,7 +286,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.5+"
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,
diff --git a/deep-learning/tensor-flow-exercises/2_fullyconnected.ipynb b/deep-learning/tensor-flow-exercises/2_fullyconnected.ipynb
index df2e803..e3d7dc7 100644
--- a/deep-learning/tensor-flow-exercises/2_fullyconnected.ipynb
+++ b/deep-learning/tensor-flow-exercises/2_fullyconnected.ipynb
@@ -381,7 +381,7 @@
     "  # This is a one-time operation which ensures the parameters get initialized as\n",
     "  # we described in the graph: random weights for the matrix, zeros for the\n",
     "  # biases. \n",
-    "  tf.initialize_all_variables().run()\n",
+    " tf.global_variables_initializer().run()\n",
     "  print 'Initialized'\n",
     "  for step in xrange(num_steps):\n",
     "    # Run the computations. We tell .run() that we want to run the optimizer,\n",
@@ -544,7 +544,7 @@
     "num_steps = 3001\n",
     "\n",
     "with tf.Session(graph=graph) as session:\n",
-    "  tf.initialize_all_variables().run()\n",
+    "  tf.global_variables_initializer().run()\n",
     "  print \"Initialized\"\n",
     "  for step in xrange(num_steps):\n",
     "    # Pick an offset within the training data, which has been randomized.\n",
@@ -589,21 +589,21 @@
   "colab_default_view": {},
   "colab_views": {},
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 2",
    "language": "python",
-   "name": "python3"
+   "name": "python2"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 3
+    "version": 2
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.4.3"
+   "pygments_lexer": "ipython2",
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,
diff --git a/deep-learning/tensor-flow-exercises/4_convolutions.ipynb b/deep-learning/tensor-flow-exercises/4_convolutions.ipynb
index 5062c0b..be60f3a 100644
--- a/deep-learning/tensor-flow-exercises/4_convolutions.ipynb
+++ b/deep-learning/tensor-flow-exercises/4_convolutions.ipynb
@@ -412,7 +412,7 @@
     "num_steps = 1001\n",
     "\n",
     "with tf.Session(graph=graph) as session:\n",
-    "  tf.initialize_all_variables().run()\n",
+    "  tf.global_variables_initializer().run()\n",
     "  print \"Initialized\"\n",
     "  for step in xrange(num_steps):\n",
     "    offset = (step * batch_size) % (train_labels.shape[0] - batch_size)\n",
@@ -467,21 +467,21 @@
   "colab_default_view": {},
   "colab_views": {},
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 2",
    "language": "python",
-   "name": "python3"
+   "name": "python2"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 3
+    "version": 2
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.4.3"
+   "pygments_lexer": "ipython2",
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,
diff --git a/deep-learning/tensor-flow-exercises/5_word2vec.ipynb b/deep-learning/tensor-flow-exercises/5_word2vec.ipynb
index 31257ac..5407fdf 100644
--- a/deep-learning/tensor-flow-exercises/5_word2vec.ipynb
+++ b/deep-learning/tensor-flow-exercises/5_word2vec.ipynb
@@ -744,7 +744,7 @@
     "num_steps = 100001\n",
     "\n",
     "with tf.Session(graph=graph) as session:\n",
-    "  tf.initialize_all_variables().run()\n",
+    "  tf.global_variables_initializer().run()\n",
     "  print \"Initialized\"\n",
     "  average_loss = 0\n",
     "  for step in xrange(num_steps):\n",
@@ -867,21 +867,21 @@
   "colab_default_view": {},
   "colab_views": {},
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 2",
    "language": "python",
-   "name": "python3"
+   "name": "python2"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 3
+    "version": 2
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.4.3"
+   "pygments_lexer": "ipython2",
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,
diff --git a/deep-learning/tensor-flow-exercises/6_lstm.ipynb b/deep-learning/tensor-flow-exercises/6_lstm.ipynb
index 4417bd2..565bee5 100644
--- a/deep-learning/tensor-flow-exercises/6_lstm.ipynb
+++ b/deep-learning/tensor-flow-exercises/6_lstm.ipynb
@@ -928,7 +928,7 @@
     "summary_frequency = 100\n",
     "\n",
     "with tf.Session(graph=graph) as session:\n",
-    "  tf.initialize_all_variables().run()\n",
+    "  tf.global_variables_initializer().run()\n",
     "  print 'Initialized'\n",
     "  mean_loss = 0\n",
     "  for step in xrange(num_steps):\n",
@@ -1042,21 +1042,21 @@
   "colab_default_view": {},
   "colab_views": {},
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 2",
    "language": "python",
-   "name": "python3"
+   "name": "python2"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 3
+    "version": 2
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.4.3"
+   "pygments_lexer": "ipython2",
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,