Browse Tylan O'Flynn's Lessons

showing 12 lessons...

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  AvgPool2D: How to Incorporate Average pooling into a PyTorch Neural Network

  AvgPool2D - Use the PyTorch AvgPool2D Module to incorporate average pooling into a PyTorch neural network

    2:10
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  BatchNorm2d: How to use the BatchNorm2d Module in PyTorch

  BatchNorm2d - Use the PyTorch BatchNorm2d Module to accelerate Deep Network training by reducing internal covariate shift

    2:02
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  How To Use The view Method To Manage Tensor Shape In PyTorch

  Use the PyTorch view method to manage Tensor Shape within a Convolutional Neural Network

    3:29
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  How to Subclass The nn.Module Class in PyTorch

  Construct A Custom PyTorch Model by creating your own custom PyTorch module by subclassing the PyTorch nn.Module class

    1:54
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  How To Define A ReLU Layer In PyTorch

  Use PyTorch's nn.ReLU and add_module operations to define a ReLU layer

    2:30
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  How To Define A Convolutional Layer In PyTorch

  Use PyTorch nn.Sequential and PyTorch nn.Conv2d to define a convolutional layer in PyTorch

    3:10
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  How To Define A Sequential Neural Network Container In PyTorch

  Use PyTorch's nn.Sequential and add_module operations to define a sequential neural network container

    1:38
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  Augment the CIFAR10 Dataset Using the RandomHorizontalFlip and RandomCrop Transforms

  Augment the CIFAR10 Dataset Using the TorchVision RandomHorizontalFlip (transforms.RandomHorizontalFlip) and RandomCrop (transforms.RandomCrop) Transforms

    3:20
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  Apply Transforms To PyTorch Torchvision Datasets

  Use the Torchvision Transforms Parameter in the initialization function to apply transforms to PyTorch Torchvision Datasets during the data import process

    1:51
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  Normalize CIFAR10 Dataset Tensor

  Use Torchvision Transforms Normalize (transforms.Normalize) to normalize CIFAR10 dataset tensors using the mean and standard deviation of the dataset

    1:42
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  Convert CIFAR10 Dataset from PIL Images to PyTorch Tensors

  Convert CIFAR10 Dataset from PIL Images to PyTorch Tensors by Using PyTorch's ToTensor Operation

    1:15
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  CIFAR10 PyTorch: Load CIFAR10 Dataset from Torchvision

  PyTorch CIFAR10 - Load CIFAR10 Dataset (torchvision.datasets.cifar10) from Torchvision and split into train and test data sets

    1:59