alivelayers
Alivelayers are a conceptual class of neural network layers that exhibit adaptive, life-like processing by maintaining local state and modulating computation based on input and context. The term combines alive with layers to emphasize dynamic behavior rather than fixed, stateless transformations.
In operation, an alivelayer includes a controller that assesses input features, intermediate representations, and possibly a
Advantages include more efficient use of computational resources by allocating processing budget where needed, potentially reducing
Challenges involve training stability, interpretability, and hardware support. Ensuring consistent performance across diverse inputs while tuning
See also: conditional computation, dynamic routing, mixture of experts, adaptive computation time.