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A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
A DCGAN built on the CIFAR10 dataset using pytorch
A DCGAN built on the MNIST dataset using pytorch
Program implements a convolutional neural network for classifying images of numbers in the MNIST dataset as either even or odd using GPU framework.