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Showing 1 to 1 of 1 for “"Neural Network Reduction"”.

  1. Neural Network Reduction for Efficient Execution on Edge Devices

    As the size of neural networks increase, the resources needed to support their execution also increase. This presents a barrier for creating neural networks that can be trained and executed within resource limited embedded systems. To reduce the resources needed to execute neural networks, weight …

    arizona-thes Repository record for Neural Network Reduction for Efficient Execution on Edge Devices (opens in a new tab)