[example] change notebook name metadata to avoid conflict
authorEvan Shelhamer <shelhamer@imaginarynumber.net>
Wed, 13 Aug 2014 16:27:56 +0000 (09:27 -0700)
committerEvan Shelhamer <shelhamer@imaginarynumber.net>
Wed, 13 Aug 2014 17:34:23 +0000 (10:34 -0700)
see https://github.com/ipython/ipython/issues/5686

examples/classification.ipynb
examples/detection.ipynb
examples/filter_visualization.ipynb
examples/net_surgery.ipynb

index 302bdea..4d4a738 100644 (file)
@@ -1,8 +1,9 @@
 {
  "metadata": {
-  "name": "ImageNet classification",
   "description": "Use the pre-trained ImageNet model to classify images with the Python interface.",
-  "include_in_docs": true
+  "example_name": "ImageNet classification",
+  "include_in_docs": true,
+  "signature": "sha256:4f8d4c079c30d20ef4b6818e9672b1741fd1377354e5b83e291710736cecd24f"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
    "metadata": {}
   }
  ]
-}
+}
\ No newline at end of file
index 1f6af25..beae000 100644 (file)
@@ -1,8 +1,9 @@
 {
  "metadata": {
-  "name": "ImageNet detection",
   "description": "Run a pretrained model as a detector in Python.",
-  "include_in_docs": true
+  "example_name": "R-CNN detection",
+  "include_in_docs": true,
+  "signature": "sha256:8a744fbbb9ed80acab471247eaf50c27dcbd652105404df9feca599939f0c0ee"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
index 765aab5..5fdcbe2 100644 (file)
@@ -1,8 +1,9 @@
 {
  "metadata": {
-  "name": "Filter visualization",
   "description": "Extracting features and visualizing trained filters with an example image, viewed layer-by-layer.",
-  "include_in_docs": true
+  "example_name": "Filter visualization",
+  "include_in_docs": true,
+  "signature": "sha256:b1b0457e2b10110aca847a718a3fe631ebcfce63a61cbc33653244f52b1ff4af"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
    "metadata": {}
   }
  ]
-}
+}
\ No newline at end of file
index 5f151e4..dc9c7e8 100644 (file)
@@ -1,8 +1,9 @@
 {
  "metadata": {
-  "name": "Editing model parameters",
   "description": "How to do net surgery and manually change model parameters, making a fully-convolutional classifier for dense feature extraction.",
-  "include_in_docs": true
+  "example_name": "Editing model parameters",
+  "include_in_docs": true,
+  "signature": "sha256:0b2ad61622122fa34a40c250be2c0799a85fb65c149b802ce844c46eceba066e"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
    "metadata": {}
   }
  ]
-}
+}
\ No newline at end of file