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Emotional-Fox-4285 OP t1_ivepyvf wrote

Reply to comment by JabbaTheWhat01 in In my deep NN with 3 layer, . In the second iteration of GD, The activation of Layer 1 and Layer 2 output all 0 due to ReLU as all the input are smaller than 0. And L3 output some value with high floating point which is opposite to first forward_ propagation . Is this how it should work ? by Emotional-Fox-4285

I thought that Vanishing GD happen when using Sigmoid every layer...Here i use ReLU in the two Layer

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