SpinalNet: Deep Neural Network with Gradual Input. (arXiv:2007.03347v3 [cs.CV] UPDATED)

Deep neural networks (DNNs) have achieved the state of the art performance in
numerous fields. However, DNNs need high computation times, and people always
expect better performance in a lower computation. Therefore, we study the human
somatosensory system and design a neural network (SpinalNet) to achieve higher
accuracy with fewer computations. Hidden layers in traditional NNs receive
inputs in the previous layer, apply activation function, and then transfer the
outcomes to the next layer. In the proposed SpinalNet, each layer …

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