394 convert misc nn classes to num power

[apphp]

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[Copilot]

Pull request overview

This PR refactors various neural network classes to use the NumPower library. It introduces new implementations for neural network layers, networks, snapshots, and their corresponding test files. The changes also update documentation paths to reflect the new class structure organized into subdirectories.

Changes:

• Adds new neural network layer implementations (Dense, Activation, Binary, Continuous, Multiclass, Dropout, Noise, BatchNorm, PReLU, Swish, Placeholder1D) using NumPower
• Introduces Network and FeedForward classes with comprehensive test coverage
• Updates initializers to include explicit loc parameter for NumPower compatibility
• Updates documentation paths to reflect new directory structure

Reviewed changes

Copilot reviewed 51 out of 51 changed files in this pull request and generated 10 comments.

Show a summary per file

File	Description
src/NeuralNet/Networks/Network.php	New base Network class implementation using NumPower
src/NeuralNet/FeedForwards/FeedForward.php	New FeedForward network extending Network
src/NeuralNet/Layers//.php	New layer implementations (Dense, Activation, Binary, etc.)
src/NeuralNet/Snapshots/Snapshot.php	New snapshot class for network state management
tests/NeuralNet//.php	Comprehensive test coverage for new implementations
src/NeuralNet/Initializers//.php	Updated to include explicit loc parameter
docs/neural-network/hidden-layers/*.md	Documentation path updates
phpunit.xml	Memory limit increase for tests

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[andrewdalpino]

Hey @apphp I;m a little confused because I'm seeing some Neural Net layers in this PR and I thought those were handled in a separate PR.

[apphp]

@andrewdalpino - this PR is based on previous PR #393
(I wrote you about this in Telegram), so when PR #393 will be merged - you will see less changed files here.