Adding BibTeX to README

README.md

@@ -57,6 +57,19 @@ us](mailto:edgeml@microsoft.com).
 to this
 [project](https://www.microsoft.com/en-us/research/project/resource-efficient-ml-for-the-edge-and-endpoint-iot-devices/).
 
+If you use the EdgeML library in your projects or publications, please use the
+following BibTeX to cite us.
+
+```
+   @online{edgemlcode,
+     title = {{The EdgeML Library: An ML library for machine learning on the Edge}},
+     author={Kusupati, Aditya and Dennis, Don and Gupta, Chirag and Kumar, Ashish and Patil, Shishir and Simhadri, Harsha},
+     year = 2017,
+     url = {https://github.com/Microsoft/EdgeML}
+  }
+
+```
+
 
 ### Microsoft Open Source Code of Conduct This project has adopted the
 [Microsoft Open Source Code of

pytorch/examples/ProtoNN/protoNN_example.ipynb

@@ -134,10 +134,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2019-06-30T10:21:37.236Z"
+     "end_time": "2019-06-30T10:25:13.443873Z",
+     "start_time": "2019-06-30T10:21:37.702352Z"
     },
     "scrolled": true
    },
@@ -364,7 +365,14 @@
       "Epoch 190 batch 0 loss 0.291277 acc 0.937500\n",
       "Epoch 191 batch 0 loss 0.291130 acc 0.937500\n",
       "Epoch 192 batch 0 loss 0.291667 acc 0.937500\n",
-      "Epoch 193 batch 0 loss 0.291187 acc 0.937500\n"
+      "Epoch 193 batch 0 loss 0.291187 acc 0.937500\n",
+      "Epoch 194 batch 0 loss 0.290773 acc 0.937500\n",
+      "Epoch 195 batch 0 loss 0.290442 acc 0.937500\n",
+      "Epoch 196 batch 0 loss 0.290126 acc 0.937500\n",
+      "Epoch 197 batch 0 loss 0.289970 acc 0.937500\n",
+      "Epoch 198 batch 0 loss 0.289415 acc 0.937500\n",
+      "Epoch 199 batch 0 loss 0.289136 acc 0.937500\n",
+      "Validation accuracy: 0.913802\n"
      ]
     }
    ],
@@ -385,13 +393,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2019-06-30T10:21:37.237Z"
+     "end_time": "2019-06-30T10:25:13.469355Z",
+     "start_time": "2019-06-30T10:25:13.447362Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Final test accuracy tensor(0.9138, dtype=torch.float64)\n",
+      "Model size constraint (Bytes):  78240\n",
+      "Number of non-zeros:  19560\n",
+      "Actual model size:  78240\n",
+      "Actual non-zeros:  16368\n"
+     ]
+    }
+   ],
    "source": [
     " x_, y_= torch.Tensor(x_test), torch.Tensor(y_test)\n",
     "logits = protoNNObj.forward(x_)\n",