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Creators/Authors contains: "Louis, Sushil"

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  1. ; ; ; ; (, IEEE)
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  2. ; ; ; ; (, Behavior and Social Issues)
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  3. ; ; ; (, Encyclopedia with semantic computing and robotic intelligence)
    Accepted Manuscript Full Text Available
  4. ; ; (, IEEE)
  5. ; ; ; (, Genetic and Evolutionary Computing Conference)
    We introduce a novel algorithm – ConvNEAT – that evolves a convolutional neural network (CNN) from a minimal architecture. Convolutional and dense nodes are evolved without restriction to the number of nodes or connections between nodes. The proposed work advances the field with ConvNEAT’s ability to evolve arbitrary minimal architectures with multi-dimensional inputs using GPU processing. 
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