goldstraw/rust_autoencoder
Rust convolutional autoencoder built from scratch
This is a demonstration of a Rust-based convolutional autoencoder, a type of neural network. It's designed to process image data, specifically to learn and identify handwritten digits, distinguishing the number 'one' from all other digits. This tool is for developers who want to learn how to build machine learning models from scratch in Rust.
No commits in the last 6 months.
Use this if you are a developer looking for a hands-on example of how to implement a convolutional autoencoder and its constituent layers in Rust.
Not ideal if you are a practitioner looking for a ready-to-use solution to classify images or you are not familiar with Rust programming.
Stars
7
Forks
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Language
Rust
License
AGPL-3.0
Category
Last pushed
Apr 30, 2023
Commits (30d)
0
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