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Update README.md on the model visualization part. (#888)
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README.md

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### <a name="visualization">Model Visualization</a>
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You can use the [MMdnn model visualizer](http://vis.mmdnn.com/) and submit your IR json file to visualize your model. In order to run the commands below, you will need to install [requests](https://anaconda.org/anaconda/requests), [keras](https://anaconda.org/anaconda/keras), and [TensorFlow](https://anaconda.org/anaconda/tensorflow) using your favorite package manager.
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Use the [Keras "inception_v3" model](https://github.com/fchollet/deep-learning-models) as an example again.
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1. Download the pre-trained models
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```bash
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$ mmdownload -f keras -n inception_v3
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```
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2. Convert the pre-trained model files into an intermediate representation
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```bash
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$ mmtoir -f keras -w imagenet_inception_v3.h5 -o keras_inception_v3
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```
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3. Open the [MMdnn model visualizer](http://mmdnn.eastasia.cloudapp.azure.com:8080/) and choose file *keras_inception_v3.json*
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![vismmdnn](docs/vismmdnn.png)
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We provide a [local visualizer](mmdnn/visualization) to display the network architecture of a deep learning model.
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Please refer to the [instruction](mmdnn/visualization/README.md).
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