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minni-batch中的批量大小以及反向传播中的学习率都是人为设定的,而不是通过模型学出来的,因此叫做超参数。
通常所说的调参正是调超参数
输出层中的神经元和输入层中的各个输入完全连接,因此,这种输出层又叫全连接层,或者稠密层
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