Merge pull request #28 from MATLAB-Community-Toolboxes-at-INCF/vijayiyer05-README-updates

Update README to utilize File Exchange link/services

Author: stevevanhooser

README.md

@@ -1,4 +1,5 @@
 [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=INCF/DeepInterpolation-MATLAB&file=gettingStarted.mlx)
+[![View Deep-Interpolation-MATLAB on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/134991-deepinterpolation-matlab)
 # DeepInterpolation with MATLAB
 A MATLAB implementation of the DeepInterpolation principle
 ### About DeepInterpolation
@@ -12,8 +13,8 @@ You can also try one of the example inference workflows. You can individually vi
 
 | Nickname| Trained Model|  Sample data  | View | Run
 | --- | --- | --- | --- | --- |
-| "Ephys" (electrophysiology) | [model](sample_data/2020_02_29_15_28_unet_single_ephys_1024_mean_squared_error-1050.h5)  | [sample data](sample_data/ephys_tiny_continuous.dat2) | [:eyes:](examples/tiny_ephys_inference.mlx) | [:arrow_forward:](https://matlab.mathworks.com/open/github/v1?repo=INCF/DeepInterpolation-MATLAB&file=examples/tiny_ephys_inference.mlx)
-| "Ophys" (optical physiology) | [model](https://www.dropbox.com/sh/vwxf1uq2j60uj9o/AAC0sZWahCJFBRARoYsw8Nnra/2019_09_11_23_32_unet_single_1024_mean_absolute_error_Ai93-0450.h5?dl=0)  (Dropbox, 120 MB) | [sample data](sample_data/ophys_tiny_761605196.tif)   | [:eyes:](examples/tiny_ophys_inference.mlx) | [:arrow_forward:](https://matlab.mathworks.com/open/github/v1?repo=INCF/DeepInterpolation-MATLAB&file=examples/tiny_ophys_inference.mlx)
+| "Ephys" (electrophysiology) | [model](sample_data/2020_02_29_15_28_unet_single_ephys_1024_mean_squared_error-1050.h5)  | [sample data](sample_data/ephys_tiny_continuous.dat2) | [:eyes:](https://viewer.mathworks.com/?viewer=live_code&url=https%3A%2F%2Fwww.mathworks.com%2Fmatlabcentral%2Fmlc-downloads%2Fdownloads%2F84c22101-bffc-435a-910c-b0c7dcd5b386%2F4dd1b338-1032-45d1-b894-d1779b6d28f2%2Ffiles%2Fexamples%2Ftiny_ephys_inference.mlx&embed=web) | [:arrow_forward:](https://matlab.mathworks.com/open/github/v1?repo=INCF/DeepInterpolation-MATLAB&file=examples/tiny_ephys_inference.mlx)
+| "Ophys" (optical physiology) | [model](https://www.dropbox.com/sh/vwxf1uq2j60uj9o/AAC0sZWahCJFBRARoYsw8Nnra/2019_09_11_23_32_unet_single_1024_mean_absolute_error_Ai93-0450.h5?dl=0)  (Dropbox, 120 MB) | [sample data](sample_data/ophys_tiny_761605196.tif)   | [:eyes:](https://viewer.mathworks.com/?viewer=live_code&url=https%3A%2F%2Fwww.mathworks.com%2Fmatlabcentral%2Fmlc-downloads%2Fdownloads%2F84c22101-bffc-435a-910c-b0c7dcd5b386%2F4dd1b338-1032-45d1-b894-d1779b6d28f2%2Ffiles%2Fexamples%2Ftiny_ophys_inference.mlx&embed=web) | [:arrow_forward:](https://matlab.mathworks.com/open/github/v1?repo=INCF/DeepInterpolation-MATLAB&file=examples/tiny_ophys_inference.mlx)
 
 #### Requirements
 * [Deep Learning Toolbox Converter for TensorFlow Models](https://nl.mathworks.com/matlabcentral/fileexchange/64649-deep-learning-toolbox-converter-for-tensorflow-models) support package.
@@ -25,8 +26,8 @@ Try out training your own DeepInterpolation network. You can individually view (
 
 | Nickname  | Model |  Dataset | View | Run
 |---|---|---|---|---|
-| "Ephys" (electrophysiology) | [model](sample_data/2020_02_29_15_28_unet_single_ephys_1024_mean_squared_error-1050.h5) | [dataset](sample_data/ephys_tiny_continuous.dat2) | [:eyes:](examples/tiny_ephys_training.mlx) | [:arrow_forward:](https://matlab.mathworks.com/open/github/v1?repo=INCF/DeepInterpolation-MATLAB&file=examples/tiny_ephys_training.mlx) |
-| "Ophys" (optical physiology) | [model](sample_data/2021_07_31_09_49_38_095550_unet_1024_search_mean_squared_error_pre_30_post_30_feat_32_power_1_depth_4_unet_True-0125-0.5732.h5) | [dataset](http://allen-brain-observatory.s3.amazonaws.com/visual-coding-2p/ophys_movies/ophys_experiment_496908818.h5) (AWS, 55.6 GB) | [:eyes:](examples/ophys_training_inference.mlx) | (\*) |
+| "Ephys" (electrophysiology) | [model](sample_data/2020_02_29_15_28_unet_single_ephys_1024_mean_squared_error-1050.h5) | [dataset](sample_data/ephys_tiny_continuous.dat2) | [:eyes:](https://viewer.mathworks.com/?viewer=live_code&url=https%3A%2F%2Fwww.mathworks.com%2Fmatlabcentral%2Fmlc-downloads%2Fdownloads%2F84c22101-bffc-435a-910c-b0c7dcd5b386%2F4dd1b338-1032-45d1-b894-d1779b6d28f2%2Ffiles%2Fexamples%2Ftiny_ephys_training.mlx&embed=web) | [:arrow_forward:](https://matlab.mathworks.com/open/github/v1?repo=INCF/DeepInterpolation-MATLAB&file=examples/tiny_ephys_training.mlx) |
+| "Ophys" (optical physiology) | [model](sample_data/2021_07_31_09_49_38_095550_unet_1024_search_mean_squared_error_pre_30_post_30_feat_32_power_1_depth_4_unet_True-0125-0.5732.h5) | [dataset](http://allen-brain-observatory.s3.amazonaws.com/visual-coding-2p/ophys_movies/ophys_experiment_496908818.h5) (AWS, 55.6 GB) | [:eyes:](https://viewer.mathworks.com/?viewer=live_code&url=https%3A%2F%2Fwww.mathworks.com%2Fmatlabcentral%2Fmlc-downloads%2Fdownloads%2F84c22101-bffc-435a-910c-b0c7dcd5b386%2F4dd1b338-1032-45d1-b894-d1779b6d28f2%2Ffiles%2Fexamples%2Fophys_training_inference.mlx&embed=web) | (\*) |
 
 <sub>(\*) This data-intensive example is recommended for use on a local machine, not for MATLAB online.</sub>