Struct googapis::google::cloud::aiplatform::v1::SmoothGradConfig[][src]

pub struct SmoothGradConfig {
    pub noisy_sample_count: i32,
    pub gradient_noise_sigma: Option<GradientNoiseSigma>,
}
Expand description

Config for SmoothGrad approximation of gradients.

When enabled, the gradients are approximated by averaging the gradients from noisy samples in the vicinity of the inputs. Adding noise can help improve the computed gradients. Refer to this paper for more details: https://arxiv.org/pdf/1706.03825.pdf

Fields

noisy_sample_count: i32

The number of gradient samples to use for approximation. The higher this number, the more accurate the gradient is, but the runtime complexity increases by this factor as well. Valid range of its value is [1, 50]. Defaults to 3.

gradient_noise_sigma: Option<GradientNoiseSigma>

Represents the standard deviation of the gaussian kernel that will be used to add noise to the interpolated inputs prior to computing gradients.

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