LRP tutorial added for Model Interpretation Tutorial (#1105)

Summary:
Building on top of this pull request: #668

Pull Request resolved: #1105

Reviewed By: aobo-y

Differential Revision: D42811693

Pulled By: skim9

fbshipit-source-id: 23b07caf6bc161fbac35f225070c4f74ba206743

Author: skim9

tutorials/Resnet_TorchVision_Interpret.ipynb

@@ -68,11 +68,11 @@ class TutorialHome extends React.Component {
                 We then interpret the output of an example with a series of overlays using Integrated Gradients and DeepLIFT.
                 Find the tutorial <a href="CIFAR_TorchVision_Interpret">here</a>.
 
-                <h4>Interpreting vision with ResNet:</h4>
+                <h4>Interpreting vision with Pretrained models:</h4>
                 Like the CIFAR based tutorial above, this tutorial demonstrates how to use Captum for interpreting vision-focused models.
-                This tutorial begins with a pretrained resnet18 model and demonstrates how to use Intergrated Gradients along with Noise Tunnel.
-                The tutorial finishes with a demonstration of how to use GradientShap.
-                Find the tutorial <a href="Resnet_TorchVision_Interpret">here</a>.
+                This tutorial begins with a pretrained resnet18 and VGG16 model and demonstrates how to use Intergrated Gradients along with Noise Tunnel,
+                GradientShap, Occlusion, and LRP.
+                Find the tutorial <a href="TorchVision_Interpret">here</a>.
 
                 <h4>Feature ablation on images:</h4>
                 This tutorial demonstrates feature ablation in Captum, applied on images as an example.

tutorials/TorchVision_Interpret.ipynb

@@ -15,8 +15,8 @@
       "title": "Intepreting vision with CIFAR"
     },
     {
-      "id": "Resnet_TorchVision_Interpret",
-      "title": "Interpreting vision with ResNet"
+      "id": "TorchVision_Interpret",
+      "title": "Interpreting vision with Pretrained Models"
     },
     {
       "id": "Resnet_TorchVision_Ablation",