From 0212a9d368ca68ed50deb8bcf80fc9a33221067d Mon Sep 17 00:00:00 2001 From: Jerome Date: Thu, 12 Jul 2018 17:01:31 +0800 Subject: [PATCH] Fixing error learning rate for this sample --- tutorial-contents-notebooks/301_regression.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tutorial-contents-notebooks/301_regression.ipynb b/tutorial-contents-notebooks/301_regression.ipynb index 8880d2c..6485fd0 100644 --- a/tutorial-contents-notebooks/301_regression.ipynb +++ b/tutorial-contents-notebooks/301_regression.ipynb @@ -125,7 +125,7 @@ }, "outputs": [], "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" ] }, @@ -261,7 +261,7 @@ " plt.cla()\n", " plt.scatter(x.data.numpy(), y.data.numpy())\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.pause(0.2)\n", "\n",