microcnn 0.1.0

A minimal CNN framework in Rust with Quantization
Documentation
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  • 30.99%
    53 out of 171 items documented1 out of 91 items with examples
  • Size
  • Source code size: 91.89 kB This is the summed size of all the files inside the crates.io package for this release.
  • Documentation size: 10.68 MB This is the summed size of all files generated by rustdoc for all configured targets
  • Ø build duration
  • this release: 22s Average build duration of successful builds.
  • all releases: 22s Average build duration of successful builds in releases after 2024-10-23.
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  • fauzisho/microcnn
    1 0 0
  • crates.io
  • Dependencies
  • Versions
  • Owners
  • fauzisho

A minimal CNN framework in Rust with INT8 and INT4 quantization support.

This crate provides building blocks for constructing and running convolutional neural networks in FP32, INT8, and INT4 precision. It includes a reference LeNet-5 implementation for MNIST digit classification.

Example

use microcnn::lenet::lenet;

let mut net = lenet(false);
net.load("data/lenet.raw");