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Glite Dictionary
🌐 Network design 🧠 AI model structure
network architecture

network architecture

4.3
The arrangement of layers and connections in a computer model that learns from data
  • noun
  • Specialized
translation icon : arquitectura de red
  • Understanding the network architecture is crucial for developing effective algorithms in machine learning.

Examples

  • The research focused on improving the network architecture to enhance the performance of the neural network in image recognition tasks.

  • So deep learning these deep neural network architectures is representation learning.

  • The proposed network architecture consists of multiple layers that work together to optimize learning efficiency.

Synonyms

architecture
vsnetwork architecture
  • Specialized
41 5.1

The way a computer's parts and programs are arranged and work together

is specialized to layer and connection patterns that shape learning
network topology
vsnetwork architecture
  • Specialized
5.3

How layers and simple units connect in a computer model that learns

is about how that arrangement processes information and learns

Antonyms

chaos
438 3.1

A situation with no order where people are confused and cannot act normally

disorder
31 3.7

A state in which things or places are not arranged

Surface Forms

network architecture singular
network architectures plural

Morphology

network + architecture

The meaning is directly compositional: 'network' (an interconnected system) combined with 'architecture' (structural design) yields 'the structural design/arrangement of a network', so a learner who knows both words can infer the basic sense. Although detailed ML-specific nuances (layers, modules, operations) are technical, the core concept is transparent and predictable from the constituents.

Etymology

Network architecture in machine learning is like the floor plan of a factory with rooms called layers and paths between them. The place and order of the rooms decide the steps of work, so the term means the 'layout that controls how a model processes information and learns'.