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code for saving the model is added

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yunjey
2017-03-11 14:54:46 +09:00
parent 278c13513f
commit 86a0872430
17 changed files with 630 additions and 37 deletions
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tutorials/02 - Logistic Regression/main.py
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@ -13,12 +13,12 @@ batch_size = 100
learning_rate = 0.001
# MNIST Dataset (Images and Labels)
train_dataset = dsets.MNIST(root='./data',
train_dataset = dsets.MNIST(root='../data',
train=True,
transform=transforms.ToTensor(),
download=True)
test_dataset = dsets.MNIST(root='./data',
test_dataset = dsets.MNIST(root='../data',
train=False,
transform=transforms.ToTensor())
@ -76,4 +76,7 @@ for images, labels in test_loader:
total += labels.size(0)
correct += (predicted == labels).sum()
print('Accuracy of the model on the 10000 test images: %d %%' % (100 * correct / total))
print('Accuracy of the model on the 10000 test images: %d %%' % (100 * correct / total))
# Save the Model
torch.save(model, 'model.pkl')