зеркало из https://github.com/microsoft/caffe.git
[example] change notebook name metadata to avoid conflict
see https://github.com/ipython/ipython/issues/5686
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@ -1,8 +1,9 @@
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{
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"metadata": {
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"name": "ImageNet classification",
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"description": "Use the pre-trained ImageNet model to classify images with the Python interface.",
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"include_in_docs": true
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"example_name": "ImageNet classification",
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"include_in_docs": true,
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"signature": "sha256:4f8d4c079c30d20ef4b6818e9672b1741fd1377354e5b83e291710736cecd24f"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -1,8 +1,9 @@
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{
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"metadata": {
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"name": "ImageNet detection",
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"description": "Run a pretrained model as a detector in Python.",
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"include_in_docs": true
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"example_name": "R-CNN detection",
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"include_in_docs": true,
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"signature": "sha256:8a744fbbb9ed80acab471247eaf50c27dcbd652105404df9feca599939f0c0ee"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -1,8 +1,9 @@
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{
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"metadata": {
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"name": "Filter visualization",
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"description": "Extracting features and visualizing trained filters with an example image, viewed layer-by-layer.",
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"include_in_docs": true
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"example_name": "Filter visualization",
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"include_in_docs": true,
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"signature": "sha256:b1b0457e2b10110aca847a718a3fe631ebcfce63a61cbc33653244f52b1ff4af"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -1,8 +1,9 @@
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{
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"metadata": {
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"name": "Editing model parameters",
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"description": "How to do net surgery and manually change model parameters, making a fully-convolutional classifier for dense feature extraction.",
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"include_in_docs": true
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"example_name": "Editing model parameters",
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"include_in_docs": true,
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"signature": "sha256:0b2ad61622122fa34a40c250be2c0799a85fb65c149b802ce844c46eceba066e"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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