composer.json

{
    "name": "rubix/cifar-10",
    "type": "project",
    "description": "Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.",
    "homepage": "https://github.com/RubixML/CIFAR10",
    "license": "MIT",
    "keywords": [
        "batch norm", "cifar 10", "cifar-10", "classification", "cross validation", "dataset",
        "data science", "dropout", "elu", "example project", "exponential linear unit",
        "feed forward", "image recognition", "image classification", "machine learning", "ml",
        "multilayer perceptron", "neural network", "php", "php ml", "rubix ml", "rubixml",
        "tutorial"
    ],
    "authors": [
        {
            "name": "Andrew DalPino",
            "homepage": "https://github.com/andrewdalpino",
            "role": "Lead Engineer"
        }
    ],
    "require": {
        "php": ">=7.4",
        "ext-gd": "*",
        "rubix/ml": "^1.0"
    },
    "scripts": {
        "train": "@php train.php",
        "test": "@php validate.php"
    },
    "config": {
        "preferred-install": "dist",
        "sort-packages": true
    },
    "minimum-stability": "dev",
    "prefer-stable": true
}