Crate multistochgrad

source ·

Modules§

  • Some applications providing examples and tests. They show how implement Traits defined in types.rs to build a use case.
  • Structure and functions to read MNIST database
  • to include necessary files
  • Implementation of basic Stochastic Average Gradient (SAG)
  • A Rust implementation of Lei-Jordan papers:
  • A Rust implementation of Johnson-Zhang paper:
    “Acceleration stochastic Gradient Descent using Predictive Variance Reduction”
    SVRG
  • This file is inspired by the crate optimisation written by Oliver Mader b52@reaktor42.de.
    I kept the traits Function, FunctionC1, Summation and SummationC1 which provides the interface for users to define a minimisation problem.