> ML_ARCHITECTURE // MULTILAYER-PERCEPTRON-MLP_v1.0
Multilayer Perceptron (MLP / Feed-Forward Network)
Foundational universal function approximator composed of stacked fully-connected linear layers interleaved with non-linear activation functions, the foundational building block of deep learning.
Dense Classical Networkstabular
Back to All ArchitecturesArchitecture Overview
Foundational universal function approximator composed of stacked fully-connected linear layers interleaved with non-linear activation functions, the foundational building block of deep learning.
Implementing Libraries
Seminal Papers
Learning representations by back-propagating errorsDavid E. Rumelhart, Geoffrey E. Hinton (1986) · Nature
Multilayer feedforward networks are universal approximatorsKurt Hornik, Maxwell Stinchcombe (1989) · Neural Networks
Architectural Limitations & Constraints
- Requires compatible deep learning framework and hardware acceleration for efficient execution.