concept#Machine Learning#Artificial Intelligence#Analytics#Architecture#Software Engineering

Neural Network Architecture

Structural principles and design patterns for artificial neural networks that define layers, connectivity, and activation functions.

Neural network architecture defines the structure of artificial neural networks, including layers, connectivity patterns, and activation functions.

Maturity

Established

Cognitive loadHigh

360° overview

Six perspectives place the building block in context. The numbers show where each perspective continues in the reading path.

The building block at a glance

Neural Network Architecture

360°

2

2

Integrations

Training and experiment tracking (e.g. MLflow)

+2

1

Adapt architecture to the problem: choose depth, width, and connectivity types according to task specification.

Value stream stage: Build

4

3

4