LostTech.TensorFlow : API Documentation

Type glorot_normal_initializer

Namespace tensorflow

Parent variance_scaling_initializer

Interfaces Iglorot_normal_initializer

The Glorot normal initializer, also called Xavier normal initializer.

It draws samples from a truncated normal distribution centered on 0 with standard deviation (after truncation) given by `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.


Public properties

string distribution get; set;

DType dtype get; set;

string mode get; set;

object PythonObject get;

double scale get; set;

Nullable<int> seed get; set;