k9
A small Clojure library for constructing and training neural networks using core.matrix.
What is k9?
k9 is a small Clojure library for constructing and training neural networks using core.matrix. It enables developers to build simple three-layer networks, perform feed-forward computations, and train models on datasets with backpropagation. The library is designed for educational purposes and lightweight machine learning experiments in Clojure.
Clojure developers and learners interested in understanding neural network fundamentals without complex frameworks. It's suitable for those exploring machine learning concepts in a functional programming context.
k9 offers a minimal, dependency-light approach to neural networks in Clojure, leveraging core.matrix for efficient numerical operations. Its simplicity makes it ideal for prototyping and learning, distinguishing it from heavier machine learning libraries.
Overview
Small library for using neural networks and core.matrix
Use Cases
Best For
- Learning neural network basics in Clojure
- Prototyping simple machine learning models
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