Show HN: Applying the Unix philosophy to neural networks

Each type of a neural network layer is a distinct subcommand. Simple text streams of delimited numeric values serve as the interface between different layers of a neural network. Each invocation of does one thing: it feeds the numeric input values forward through an instantiation of a neural network layer, then emits the resulting output numeric values.

Source: github.com