Definition: "Minunet" is a type of neural network architecture that has been proposed by researchers at the University of California, Berkeley. It was originally designed to be used in computer vision tasks such as object detection and image segmentation. Minunets are known for their ability to learn very complex patterns from limited input data, making them particularly useful for tasks involving large amounts of data or high-dimensional features. The architecture consists of multiple layers with a single hidden layer connected to the output layer. The network is
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