Use PyTorch's nn.Sequential and add_module operations to define a sequential neural network container
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Torch Transpose - Use PyTorch Transpose to change the order of dimensions in a tensor.
Tensor To Float: Convert a PyTorch Tensor To A Floating Number Data Type
AvgPool2D: How to Incorporate Average pooling into a PyTorch Neural Network
BatchNorm2d: How to use the BatchNorm2d Module in PyTorch
How To Use The view Method To Manage Tensor Shape In PyTorch
How to Subclass The nn.Module Class in PyTorch
How To Define A ReLU Layer In PyTorch
How To Define A Convolutional Layer In PyTorch
How To Define A Sequential Neural Network Container In PyTorch
Augment the CIFAR10 Dataset Using the RandomHorizontalFlip and RandomCrop Transforms
Convert List To TensorFlow Tensor
Normalize CIFAR10 Dataset Tensor