Fixing error learning rate for this sample

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",