layers Directory Reference

Files
	ConvPCLayer.h
	Convolutional counterpart to DiscriminativePCLayer.
	DirectKPPCLayer.h
	Direct Kolen-Pollack predictive coding layer, routed through IComputeBackend.
	DiscriminativePCLayer.h
	Defines the single-layer implementation of a PC model.
	FullPCLayer.h
	New, standalone PC layer (not derived from DirectKPPCLayer) meant to eventually carry every technique from the paper-combination work – muPC scaling, optional residual connections, DKP direct feedback, AdamW, muP-style per-layer LR scaling, optional iPC, cross-entropy terminal loss – each one OFF by default, opt-in per layer/network, so a plain DKP-PC-equivalent network is just this class with every extra left at its default.
	GaussSeidelPCLayer.h
	A PC layer whose settling dynamics follow a Gauss-Seidel (sequential-sweep) update, matching ngc-learn's actual execution order – NOT the Jacobi (fully-synchronous) update SimplePCLayer uses.
	Layer.h
	Virtual Layer.
	RBLayer.h
	Restricted Boltzmann-style Predictive Coding (PC) Layer.
	SimpleConvPCLayer.h
	ConvPCLayer with precision removed, AdamW/Adam support, now routed through IComputeBackend for GPU portability (mirrors SimplePCLayer's own IComputeBackend port).
	SimplePCLayer.h
	DiscriminativePCLayer with precision entirely removed.