layer
A command-line tool for neural network inference using Unix pipeline philosophy.
What is layer?
layer is a command-line program for performing neural network inference using Unix-style pipelines. It allows developers to chain different neural network layers as separate commands, processing streams of numeric data through sequential filters. The tool applies the Unix philosophy to machine learning workflows, treating each layer as a simple, composable component.
Developers and researchers working with neural networks who prefer command-line interfaces and Unix pipeline patterns for building and testing inference workflows.
layer offers a unique, minimalist approach to neural network inference by leveraging familiar Unix tools and patterns, making it easy to prototype, test, and compose networks without heavyweight frameworks.
Overview
Neural network inference the Unix way
Use Cases
Best For
- Prototyping neural network architectures from the command line
- Teaching neural network concepts using Unix pipeline analogies
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