Neural-network building blocks · MLD-0013
Activation function
A transformation applied to neural values that often enables nonlinear modeling.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Apply ReLU to a layer's pre-activations.
Original caveat
Without appropriate nonlinearities, stacked linear maps collapse to one linear map.
Context and aliases
Level: Intermediate. Stages: Training · Inference · Theory.
Tags: DL · SLM · LLM · Vision · NLP.
Aliases: Nonlinearity.
Related concepts
Concepts linking here
Original references
- Deep Learning: online textbook ↗ · Consulted
- PyTorch neural-network layers ↗ · Reference link
- PyTorch documentation ↗ · Reference link
- Original reference URL ↗