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SMALL-WORLD NETS FOR FAST NEURAL NETWORK TRAINING AND EXECUTION
SMALL-WORLD NETS FOR FAST NEURAL NETWORK TRAINING AND EXECUTION
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机译:小型神经网络用于快速神经网络训练和执行
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摘要
A method, a system, and a computer program product for fast training and/or execution of neural networks. A description of a neural network architecture is received. Based on the received description, a graph representation of the neural network architecture is generated. The graph representation includes one or more nodes connected by one or more connections. At least one connection is modified. Based on the generated graph representation, a new graph representation is generated using the modified at least one connection. The new graph representation has a small-world property. The new graph representation is transformed into a new neural network architecture.
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