Updated ResNet readme, added results and model links.

Examples/Image/Miscellaneous/ImageNet/ResNet/README.md

@@ -1,12 +1,22 @@
 # CNTK example: ImageNet ResNet 
 
-**Disclaimer: network configurations and experiment settings in this this folder try to follow those published in the [ResNet paper](http://arxiv.org/abs/1512.03385) as close as possible. However, these samples are NOT endorsed or verified by the researchers who published the original work. It is NOT guaranteed that you get the same (or even close) results as those in the paper.**
-
 ## Overview
 
 |Data:     |The ILSVRC2012 dataset (http://www.image-net.org/challenges/LSVRC/2012/) of images.
 |:---------|:---
 |Purpose   |This example demonstrates usage of the NDL (Network Description Language) to define networks similar to ResNet.
-|Network   |NDLNetworkBuilder, deep convolutional networks resembling ResNet networks.
+|Network   |NDLNetworkBuilder, deep convolutional residual networks (ResNet).
 |Training  |Stochastic gradient descent with momentum.
 
+## Details
+The network configurations and experiment settings in this this folder resemble the ones in the original [ResNet paper](http://arxiv.org/abs/1512.03385) with few minor changes inspired by [this work](https://github.com/facebook/fb.resnet.torch).
+The following table contains results as well as links to pre-trained models that can be used in various applications.
+
+| Network       | Top-1 error | Top-5 error | Model
+| ------------- | ----------- | ----------- | ----------
+| ResNet-18     | 29.57       | 10.41       | [Download](https://www.cntk.ai/resnet/ResNet_18.model)
+| ResNet-34     | 27.31       | 8.97        | [Download](https://www.cntk.ai/resnet/ResNet_34.model)
+| ResNet-50     | 24.74       | 7.56        | [Download](https://www.cntk.ai/resnet/ResNet_50.model)
+
+## Notes
+This work is an implementation of ResNets in CNTK. If you are interested in the original implementation of ResNet, follow [this link](https://github.com/KaimingHe/deep-residual-networks).