The convolution layer and the lower sampling layer are generally selected, and the convolution layer and the lower sampling layer are alternately set, that is, a convolution layer is connected with a lower sampling layer, and then the lower sampling layer is connected with a convolution layer, and so on. Each neuron in the output feature plane of convolution layer is locally connected with its input, and the input value of the neuron is obtained by the weighted sum of the corresponding connection weight and the local input plus the bias value<br>
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