message: Update the graph used in quantization tutorial
diff: @@ -89,12 +89,14 @@ here's how you can translate the latest GoogLeNet model into a version that uses
  eight-bit computations:
  ```sh
  -curl http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz -o /tmp/inceptionv3.tgz
  -tar xzf /tmp/inceptionv3.tgz -C /tmp/
  +curl -L "https://storage.googleapis.com/download.tensorflow.org/models/inception_v3_2016_08_28_frozen.pb.tar.gz" |
  + tar -C tensorflow/examples/label_image/data -xz
  bazel build tensorflow/tools/graph_transforms:transform_graph
  bazel-bin/tensorflow/tools/graph_transforms/transform_graph \
  - --inputs="Mul" --in_graph=/tmp/classify_image_graph_def.pb \
  - --outputs="softmax" --out_graph=/tmp/quantized_graph.pb \
  + --in_graph=tensorflow/examples/label_image/data/inception_v3_2016_08_28_frozen.pb \
  + --out_graph=/tmp/quantized_graph.pb \
  + --inputs=input \
  + --outputs=InceptionV3/Predictions/Reshape_1 \
  --transforms='add_default_attributes strip_unused_nodes(type=float, shape="1,299,299,3")
  remove_nodes(op=Identity, op=CheckNumerics) fold_constants(ignore_errors=true)
  fold_batch_norms fold_old_batch_norms quantize_weights quantize_nodes
  @@ -110,15 +112,7 @@ outputs though, and you should get equivalent results. Here's an example:
  ```sh
  bazel build tensorflow/examples/label_image:label_image
  bazel-bin/tensorflow/examples/label_image/label_image \
  ---image=<input-image> \
  --graph=/tmp/quantized_graph.pb \
  ---labels=/tmp/imagenet_synset_to_human_label_map.txt \
  ---input_width=299 \
  ---input_height=299 \
  ---input_mean=128 \
  ---input_std=128 \
  ---input_layer="Mul:0" \
  ---output_layer="softmax:0"
  ```
  You'll see that this runs the newly-quantized graph, and outputs a very similar
  