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Fixing error learning rate for this sample

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Jerome
2018-07-12 17:01:31 +08:00
committed by GitHub
parent d053113d3a
commit 0212a9d368
1 changed files with 2 additions and 2 deletions
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tutorial-contents-notebooks/301_regression.ipynb
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@ -125,7 +125,7 @@
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
"optimizer = torch.optim.SGD(net.parameters(), lr=0.5)\n", "optimizer = torch.optim.SGD(net.parameters(), lr=0.4)\n",
"loss_func = torch.nn.MSELoss() # this is for regression mean squared loss" "loss_func = torch.nn.MSELoss() # this is for regression mean squared loss"
] ]
}, },
@ -261,7 +261,7 @@
" plt.cla()\n", " plt.cla()\n",
" plt.scatter(x.data.numpy(), y.data.numpy())\n", " plt.scatter(x.data.numpy(), y.data.numpy())\n",
" plt.plot(x.data.numpy(), prediction.data.numpy(), 'r-', lw=5)\n", " plt.plot(x.data.numpy(), prediction.data.numpy(), 'r-', lw=5)\n",
" plt.text(0.5, 0, 'Loss=%.4f' % loss.data[0], fontdict={'size': 20, 'color': 'red'})\n", " plt.text(0.5, 0, 'Loss=%.4f' % loss.item(), fontdict={'size': 20, 'color': 'red'})\n",
" plt.show()\n", " plt.show()\n",
" plt.pause(0.2)\n", " plt.pause(0.2)\n",
"\n", "\n",