The model uses PyTorch and CUDA compatible GPUs to train through 30 epochs, ultimatley acheiving ~90% accuracy.
Example outputs:
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corndog-overflow/ResNet_Conv_NN
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A simplified ResNet model used to classify images from the Cifar-10 dataset with ~90% accuracy
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