In this tutorial, we explore an innovative and practical application of IBM’s open-source ResNet-50 deep learning model, showcasing its capability to classify satellite imagery for disaster management ...
name: resnet2b # This model is defined in model_defs.py. Add your own model definitions there. path: models/cifar10_resnet/resnet2b.pth # Path to PyTorch checkpoint ...
dataset: CIFAR # Dataset name. This is just the standard CIFAR-10 test set defined in the "load_verification_dataset()" function in utils.py mean: [0.4914, 0.4822, 0.4465] # Mean for normalization.
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