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Compact-GAN
Compact-GAN PublicCompact GAN is a simplified, parameter-efficient generative adversarial network architecture that leverages shared biases and reversible operations. Designed without convolutions to evaluate raw ac…
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Unknown-Recognition-Neuron-Approach-with-MNIST-Dataset
Unknown-Recognition-Neuron-Approach-with-MNIST-Dataset PublicThe "Unknown Recognition Neuron" experiment aimed to investigate the effectiveness of introducing an "unknown" class to handle out-of-distribution data when training a convolutional neural network …
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Quotes-Kindle-Paperwhite
Quotes-Kindle-Paperwhite PublicOrganized quotes from the old kindle shared with my brother
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