Recurrent CNNs are trained with joint task and resource costs on breadth, depth, and time, yielding organic growth in all three dimensions that trades off for accuracy and matches human reaction times on object recognition.
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Growing a Neural Network in Breadth, Depth, and Time
Recurrent CNNs are trained with joint task and resource costs on breadth, depth, and time, yielding organic growth in all three dimensions that trades off for accuracy and matches human reaction times on object recognition.