Dreams, Drugs & ConvNets
Read OriginalThis article investigates the parallels between the visual artifacts created by convolutional neural networks (ConvNets) and the imagery experienced during altered states of human consciousness, such as dreams and psychedelic trips. It aims to foster cross-pollination between machine learning and cognitive science by examining the shared limitations and creative outputs of both biological and artificial learning systems.
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