训练卷积神经网络不管输入什么,输出结果几乎不变。
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谢谢大家帮忙!
上面这个是(卷积+tanh)*2+dropout+fc的结构,看起来曲线挺正常但是还是一样的情况,优化器用的adam。
之前还用过LeNet-5模型(学习率0.01),MNIST来训练手写数字识别模型但是结果也是一样,输入两个看起来差别很大的数字图像(eg:1、5)输出结果都是1
希望大家可以告诉我这是怎么了,是陷入局部最优了吗?
我初学好多东西都不太了解,希望大家多多担待,再次感谢!
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