Update README.md

Update to include/reflect Open in MATLAB Online & File Exchange rendering links

Author: vijayiyer05

README.md

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+[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=matlab-deep-learning/Brain-MRI-Age-Classification-using-Deep-Learning&file=BrainMRIAgeClassificationUsingDeepLearning.mlx) [![View Brain-MRI-Age-Classification-using-Deep-Learning on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/74941-brain-mri-age-classification-using-deep-learning)
+
 # **Brain MRI Age Classification Using Deep Learning**
 
 This example shows how to work with an MRI brain image dataset and how to use transfer learning to modify and retrain ResNet-18, a pretrained convolutional neural network, to perform image classification on that dataset.
 
+👀 [View the example](https://viewer.mathworks.com/?viewer=live_code&url=https%3A%2F%2Fwww.mathworks.com%2Fmatlabcentral%2Fmlc-downloads%2Fdownloads%2Fcb382fe4-455d-46c6-a137-a396f1cfffd7%2F9f0a19d9-cbba-4729-ad85-29a073fa2b54%2Ffiles%2FBrainMRIAgeClassificationUsingDeepLearning.mlx&embed=web) ▶️ [Run the example](https://matlab.mathworks.com/open/github/v1?repo=matlab-deep-learning/Brain-MRI-Age-Classification-using-Deep-Learning&file=BrainMRIAgeClassificationUsingDeepLearning.mlx)
+
+### About the Data
 The MRI scans used in this example were obtained during a study \[1\] of social brain development conducted by researchers at the Massachussets Institute of Technology (MIT), and are available for download via the OpenNEURO platform:
     https://openneuro.org/datasets/ds000228/versions/1.1.0
 
-This example shows how horizontal midslice images from the brain MRI scan volumes can be classified into 3 categories according to the chronological age of the participant:
+### About the Workflow 
+This example uses the horizontal midslice images from the brain MRI scan volumes and classifies them into 3 categories according to the chronological age of the participant:
 1. Participants Aged 3-5
 2. Participants Aged 7-12
 3. Participants older than 18, classified as Adults
 
 ![](images/overview.png)
-
 This example works though multiple steps of a deep learning workflow:
 - _Exploring_ a public brain MRI image dataset
 - _Preparing_ the dataset for deep learning
 - _Training_ a deep learning model to perform chronological age classification
 - _Evaluating_ the trained model
 
+### **Running the Example**
+[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=matlab-deep-learning/Brain-MRI-Age-Classification-using-Deep-Learning&file=BrainMRIAgeClassificationUsingDeepLearning.mlx) to run the example in your web browser with no installation required. 
 
-## **Running the Example**
-
-Open and run the live script `BrainMRIAgeClassificationUsingDeepLearning.mlx`
+To run on local machine or cloud instance, open and run the live script `BrainMRIAgeClassificationUsingDeepLearning.mlx`. 
 
 Requires:
 - [MATLAB](https://www.mathworks.com/products/matlab.html) (version R2019b or later)
@@ -32,6 +37,3 @@ Requires:
 \[1\] Richardson, H., Lisandrelli, G., Riobueno-Naylor, A., & Saxe, R. (2018). Development of the social brain from age three to twelve years. Nature Communications, 9(1), 1027. https://doi.org/10.1038/s41467-018-03399-2
 
 Copyright 2020 The MathWorks, Inc.
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-[![View Brain-MRI-Age-Classification-using-Deep-Learning on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/74941-brain-mri-age-classification-using-deep-learning)
-