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dragonzap/neuralnetwork
=======================

Used for building neural networks in PHP

v1.1.0(1y ago)152GPL-2.0-or-laterPHP

Since May 31Pushed 1y ago1 watchersCompare

[ Source](https://github.com/dragonzapeducation/NeuralNetwork)[ Packagist](https://packagist.org/packages/dragonzap/neuralnetwork)[ RSS](/packages/dragonzap-neuralnetwork/feed)WikiDiscussions main Synced 1mo ago

READMEChangelog (2)DependenciesVersions (3)Used By (0)

NeuralNetwork
=============

[](#neuralnetwork)

This is a PHP package for building neural networks in PHP, if theirs enough interest I will adapt it into a PHP C module providing very quick training on the CPU and GPU.

### Example Usage

[](#example-usage)

```
 $total_hidden_neurons = 4;
    $total_hidden_layers = 2;
    $learning_rate = 0.1;
    $epochs = 500000;
    $total_input_neurons = 2;
    $total_output_neurons = 1;

    // You can use either "relu" or "sigmoid" for the activation function
    $network = new NeuralNetwork($total_input_neurons, $total_output_neurons, $learning_rate, $epochs, $total_hidden_neurons, $total_hidden_layers, 'relu');

    // Train the network on one page at a time, useful for large datasets
    // where you can simply load from the database.
    $network->trainNetworkBatch(4, function ($page, $total_per_page, &$input, &$output) {
        switch ($page) {
            case 0:
                $input = [
                    [0, 0],
                    [1, 0],
                    [0, 1],
                ];
                $output = [
                    [0], [1], [1]
                ];
                break;
            case 1:
                $input = [
                    [1, 1]
                ];
                $output = [
                    [0]
                ];
                break;

            default:
                echo 'out of bounds';
                exit;
                break;
        }
    }, 3);

    $network->forwardPass([1, 0], $output);
    print_r($output);

```

###  Health Score

24

—

LowBetter than 32% of packages

Maintenance31

Infrequent updates — may be unmaintained

Popularity10

Limited adoption so far

Community7

Small or concentrated contributor base

Maturity41

Maturing project, gaining track record

 Bus Factor1

Top contributor holds 100% of commits — single point of failure

How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window.

**Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores.

**Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement.

**Maturity (30%)** — Project age, version count, PHP version support, and release stability.

###  Release Activity

Cadence

Every ~1 days

Total

2

Last Release

707d ago

### Community

Maintainers

![](https://www.gravatar.com/avatar/92cec60df55c5baae3c5b505216ad0033682404b41a6ad757f3e03d9560cd92e?d=identicon)[DragonZap](/maintainers/DragonZap)

---

Top Contributors

[![dragonzapeducation](https://avatars.githubusercontent.com/u/80857742?v=4)](https://github.com/dragonzapeducation "dragonzapeducation (7 commits)")

### Embed Badge

![Health badge](/badges/dragonzap-neuralnetwork/health.svg)

```
[![Health](https://phpackages.com/badges/dragonzap-neuralnetwork/health.svg)](https://phpackages.com/packages/dragonzap-neuralnetwork)
```

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