Glorot normal initializer, also called Xavier normal initializer.

It draws samples from a truncated normal distribution centered on 0 with stddev = sqrt(2 / (fan_in + fan_out)) where fan_in is the number of input units in the weight tensor and fan_out is the number of output units in the weight tensor.

initializer_glorot_normal(seed = NULL)

Arguments

seed

Integer used to seed the random generator.

References

Glorot & Bengio, AISTATS 2010 http://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf

See also

Other initializers: initializer_constant, initializer_glorot_uniform, initializer_he_normal, initializer_he_uniform, initializer_identity, initializer_lecun_normal, initializer_lecun_uniform, initializer_ones, initializer_orthogonal, initializer_random_normal, initializer_random_uniform, initializer_truncated_normal, initializer_variance_scaling, initializer_zeros