LeCun normal initializer.
It draws samples from a truncated normal distribution centered on 0 with stddev = sqrt(1 / fanIn) where fanIn is the number of input units in the weight tensor.
stddev = sqrt(1 / fanIn)
fanIn
References: Self-Normalizing Neural Networks Efficient Backprop
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LeCun normal initializer.
It draws samples from a truncated normal distribution centered on 0 with
stddev = sqrt(1 / fanIn)wherefanInis the number of input units in the weight tensor.References: Self-Normalizing Neural Networks Efficient Backprop