He uniform variance scaling initializer.

Draws samples from a uniform distribution within [-limit, limit], where limit = sqrt(6 / fan_in) (fan_in is the number of input units in the weight tensor).

Usage

initializer_he_uniform(seed = NULL, input_axes = NULL, output_axes = NULL)

Arguments

seed: A integer or instance of random_seed_generator(). Used to make the behavior of the initializer deterministic. Note that an initializer seeded with an integer or NULL (unseeded) will produce the same random values across multiple calls. To get different random values across multiple calls, use as seed an instance of random_seed_generator().
input_axes: Optional integer vector. The 1-based axes of the input tensor to use when computing the fan-in.
output_axes: Optional integer vector. The 1-based axes of the output tensor to use when computing the fan-out.

Value

An Initializer instance that can be passed to layer or variable constructors, or called directly with a shape to return a Tensor.

Examples

# Standalone usage:
initializer <- initializer_he_uniform()
values <- initializer(shape = c(2, 2))

# Usage in a Keras layer:
initializer <- initializer_he_uniform()
layer <- layer_dense(units = 3, kernel_initializer = initializer)

Reference

He et al., 2015

Usage

Arguments

Value

Examples

Reference

See also