{ "

Train a ResNet on CIFAR 10

\n": "

CIFAR 10\u3067\u30ea\u30cd\u30c3\u30c8\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3057\u3088\u3046

\n", "

Configurations

\n

We use _^_0_^_ which defines all the dataset related configurations, optimizer, and a training loop.

\n": "

\u30b3\u30f3\u30d5\u30a3\u30ae\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3

\n

\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u95a2\u9023\u3059\u308b\u3059\u3079\u3066\u306e\u69cb\u6210\u3001\u30aa\u30d7\u30c6\u30a3\u30de\u30a4\u30b6\u30fc\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30eb\u30fc\u30d7\u3092\u5b9a\u7fa9\u3059\u308b\u3082\u306e\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059_^_0_^_\u3002

\n", "

Create model

\n": "

\u30e2\u30c7\u30eb\u4f5c\u6210

\n", "

\n": "

\n", "

ResNet

\n": "

ResNet

\n", "

Bottleneck sizes

\n": "

\u30dc\u30c8\u30eb\u30cd\u30c3\u30af\u30b5\u30a4\u30ba

\n", "

Create configurations

\n": "

\u69cb\u6210\u306e\u4f5c\u6210

\n", "

Create experiment

\n": "

\u5b9f\u9a13\u3092\u4f5c\u6210

\n", "

Kernel size of the initial convolution layer

\n": "

\u521d\u671f\u7573\u307f\u8fbc\u307f\u5c64\u306e\u30ab\u30fc\u30cd\u30eb\u30b5\u30a4\u30ba

\n", "

Linear layer for classification

\n": "

\u5206\u985e\u7528\u306e\u7dda\u5f62\u30ec\u30a4\u30e4\u30fc

\n", "

Load configurations

\n": "

\u69cb\u6210\u3092\u30ed\u30fc\u30c9

\n", "

Move the model to the device

\n": "

\u30e2\u30c7\u30eb\u3092\u30c7\u30d0\u30a4\u30b9\u306b\u79fb\u52d5

\n", "

Number fo blocks for each feature map size

\n": "

\u5404\u30d5\u30a3\u30fc\u30c1\u30e3\u30de\u30c3\u30d7\u30b5\u30a4\u30ba\u306e\u30d6\u30ed\u30c3\u30af\u6570

\n", "

Number of channels for each feature map size

\n": "

\u5404\u30d5\u30a3\u30fc\u30c1\u30e3\u30de\u30c3\u30d7\u30b5\u30a4\u30ba\u306e\u30c1\u30e3\u30f3\u30cd\u30eb\u6570

\n", "

Set model for saving/loading

\n": "

\u4fdd\u5b58/\u8aad\u307f\u8fbc\u307f\u7528\u306e\u30e2\u30c7\u30eb\u3092\u8a2d\u5b9a

\n", "

Stack them

\n": "

\u7a4d\u307f\u91cd\u306d\u3066

\n", "

Start the experiment and run the training loop

\n": "

\u5b9f\u9a13\u3092\u958b\u59cb\u3057\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30eb\u30fc\u30d7\u3092\u5b9f\u884c\u3057\u307e\u3059

\n", "Train a ResNet on CIFAR 10": "CIFAR 10\u3067\u30ea\u30cd\u30c3\u30c8\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3057\u3088\u3046" }