diff --git a/Part 2 - Neural Networks in PyTorch.ipynb b/Part 2 - Neural Networks in PyTorch.ipynb
index 6d139c0f..b108f606 100644
--- a/Part 2 - Neural Networks in PyTorch.ipynb
+++ b/Part 2 - Neural Networks in PyTorch.ipynb
@@ -44,7 +44,7 @@
"source": [
"# Define a transform to normalize the data\n",
"transform = transforms.Compose([transforms.ToTensor(),\n",
- " transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),\n",
+ " transforms.Normalize((0.5,), (0.5,)),\n",
" ])\n",
"# Download and load the training data\n",
"trainset = datasets.MNIST('MNIST_data/', download=True, train=True, transform=transform)\n",
diff --git a/Part 3 - Training Neural Networks.ipynb b/Part 3 - Training Neural Networks.ipynb
index 190a8cc8..0f24d600 100644
--- a/Part 3 - Training Neural Networks.ipynb
+++ b/Part 3 - Training Neural Networks.ipynb
@@ -218,7 +218,7 @@
"\n",
"# Define a transform to normalize the data\n",
"transform = transforms.Compose([transforms.ToTensor(),\n",
- " transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),\n",
+ " transforms.Normalize((0.5,), (0.5,)),\n",
" ])\n",
"# Download and load the training data\n",
"trainset = datasets.MNIST('MNIST_data/', download=True, train=True, transform=transform)\n",
diff --git a/Part 4 - Fashion-MNIST Exercise.ipynb b/Part 4 - Fashion-MNIST Exercise.ipynb
index 2928d9b3..77a3a7c7 100644
--- a/Part 4 - Fashion-MNIST Exercise.ipynb
+++ b/Part 4 - Fashion-MNIST Exercise.ipynb
@@ -27,7 +27,7 @@
"\n",
"# Define a transform to normalize the data\n",
"transform = transforms.Compose([transforms.ToTensor(),\n",
- " transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])\n",
+ " transforms.Normalize((0.5,), (0.5,))])\n",
"# Download and load the training data\n",
"trainset = datasets.FashionMNIST('F_MNIST_data/', download=True, train=True, transform=transform)\n",
"trainloader = torch.utils.data.DataLoader(trainset, batch_size=64, shuffle=True)\n",
diff --git a/Part 5 - Inference and Validation.ipynb b/Part 5 - Inference and Validation.ipynb
index b5479d9f..fb2768cb 100644
--- a/Part 5 - Inference and Validation.ipynb
+++ b/Part 5 - Inference and Validation.ipynb
@@ -43,7 +43,7 @@
"source": [
"# Define a transform to normalize the data\n",
"transform = transforms.Compose([transforms.ToTensor(),\n",
- " transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])\n",
+ " transforms.Normalize((0.5,), (0.5,))])\n",
"# Download and load the training data\n",
"trainset = datasets.FashionMNIST('F_MNIST_data/', download=True, train=True, transform=transform)\n",
"trainloader = torch.utils.data.DataLoader(trainset, batch_size=64, shuffle=True)\n",
diff --git a/Part 6 - Saving and Loading Models.ipynb b/Part 6 - Saving and Loading Models.ipynb
index 293ae1cc..c0105a6a 100644
--- a/Part 6 - Saving and Loading Models.ipynb
+++ b/Part 6 - Saving and Loading Models.ipynb
@@ -38,7 +38,7 @@
"source": [
"# Define a transform to normalize the data\n",
"transform = transforms.Compose([transforms.ToTensor(),\n",
- " transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])\n",
+ " transforms.Normalize((0.5,), (0.5,))])\n",
"# Download and load the training data\n",
"trainset = datasets.FashionMNIST('F_MNIST_data/', download=True, train=True, transform=transform)\n",
"trainloader = torch.utils.data.DataLoader(trainset, batch_size=64, shuffle=True)\n",
diff --git a/Part 7 - Loading Image Data.ipynb b/Part 7 - Loading Image Data.ipynb
index 9fe51b4a..365d3859 100644
--- a/Part 7 - Loading Image Data.ipynb
+++ b/Part 7 - Loading Image Data.ipynb
@@ -120,7 +120,7 @@
"source": [
"If you loaded the data correctly, you should see something like this (your image will be different):\n",
"\n",
- "
"
+ ""
]
},
{