def he_normal(shape, name=None, dim_ordering='th'):
 (fan_in, fan_out) = get_fans(shape, dim_ordering=dim_ordering)
 s = np.sqrt((2.0 / fan_in))
 return normal(shape, s, name=name)

def he_normal ( shape , name = None , dim_ordering = 'th' ) : ( fan_in , fan_out ) = get_fans ( shape , dim_ordering = dim_ordering ) s = np . sqrt ( ( 2.0 / fan_in ) ) return normal ( shape , s , name = name )
he normal variance scaling initializer .