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Update README.md
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takerum authored May 12, 2017
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Expand Up @@ -26,7 +26,7 @@ python train_mnist_sup.py --cost_type=VAT_finite_diff --epsilon=2.1 --layer_size
```
###VAT for semi-supervised learning on MNIST dataset (with 100 labeled samples)
```
python train_mnist_semisup.py --cost_type=VAT_finite_diff --epsilon=0.3 --layer_sizes=784-1200-1200-10 --num_labeled_examples=100 --save_filename=<filename>
python train_mnist_semisup.py --cost_type=VAT_finite_diff --epsilon=0.3 --layer_sizes=784-1200-1200-10 --num_labeled_samples=100 --save_filename=<filename>
```
After finish training, the trained classifer will be saved with `<filename> ` in ` ./trained_model `.

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