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Have you tried on deeper models?
Since each step of backprops, gradients are removed with specific portions(like 5%), Will not the gradient vanish in a deeper neural network model?
Any thoughts?
The text was updated successfully, but these errors were encountered:
Actually this method also works on deeper MLP model with 2, 3, 4, 5 hidden layers, e.g., see the Table 5 of the conference version. Thanks.
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Have you tried on deeper models?
Since each step of backprops, gradients are removed with specific portions(like 5%), Will not the gradient vanish in a deeper neural network model?
Any thoughts?
The text was updated successfully, but these errors were encountered: