Deep a complex mapping mappings backpropagation反向传播 learning 1 insight: 1.1.符号 weighted sum of the input to neuron output of neuron weight between neuron (layer ) to neuron (layer + 1) L 将训练切割成小的撮(batch) l 对每一个小撮进行误差计算、反向传播,调整权重 运行结果 解剖神经网
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Backpropagation ( 反向传播) algorithm settings d: 反向传播 on user privacy protection. Conclusion for first phase training by iteration inference, calculate f(x) compare the difference between the f(x) and y adjust the weights.
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