minor fixes to docs

wang4249 · Sep 4, 2014 · bc601e9 · bc601e9
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Showing 6 changed files with 7 additions and 5 deletions.
diff --git a/docs/index.md b/docs/index.md
@@ -39,7 +39,7 @@ A 4-page report for the ACM Multimedia Open Source competition.
 - [Installation instructions](/installation.html)<br />
 Tested on Ubuntu, Red Hat, OS X.
 * [Model Zoo](/model_zoo.html)<br />
-BVLC suggests a standard distribution format for Caffe models, and provides trained models for non-commercial use.
+BVLC suggests a standard distribution format for Caffe models, and provides trained models.
 * [Developing & Contributing](/development.html)<br />
 Guidelines for development and contributing to Caffe.
 * [API Documentation](/doxygen/)<br />

diff --git a/docs/model_zoo.md b/docs/model_zoo.md
@@ -1,3 +1,5 @@
+---
+---
 # Caffe Model Zoo
 
 Lots of people have used Caffe to train models of different architectures and applied to different problems, ranging from simple regression to AlexNet-alikes to Siamese networks for image similarity to speech applications.

diff --git a/examples/classification.ipynb b/examples/classification.ipynb
@@ -2,7 +2,7 @@
  "metadata": {
   "description": "Use the pre-trained ImageNet model to classify images with the Python interface.",
   "example_name": "ImageNet classification",
-  "include_in_docs": true,
+  "include_in_docs": true
  },
  "nbformat": 3,
  "nbformat_minor": 0,

diff --git a/examples/detection.ipynb b/examples/detection.ipynb
@@ -2,7 +2,7 @@
  "metadata": {
   "description": "Run a pretrained model as a detector in Python.",
   "example_name": "R-CNN detection",
-  "include_in_docs": true,
+  "include_in_docs": true
  },
  "nbformat": 3,
  "nbformat_minor": 0,

diff --git a/examples/filter_visualization.ipynb b/examples/filter_visualization.ipynb
@@ -2,7 +2,7 @@
  "metadata": {
   "description": "Extracting features and visualizing trained filters with an example image, viewed layer-by-layer.",
   "example_name": "Filter visualization",
-  "include_in_docs": true,
+  "include_in_docs": true
  },
  "nbformat": 3,
  "nbformat_minor": 0,

diff --git a/examples/net_surgery.ipynb b/examples/net_surgery.ipynb
@@ -2,7 +2,7 @@
  "metadata": {
   "description": "How to do net surgery and manually change model parameters, making a fully-convolutional classifier for dense feature extraction.",
   "example_name": "Editing model parameters",
-  "include_in_docs": true,
+  "include_in_docs": true
  },
  "nbformat": 3,
  "nbformat_minor": 0,