Triple

Target class: deep neural network architecture
Context triple: [ResNet, instanceOf, deep neural network architecture]

• A. deep learning model chosen
  A deep learning model is a computational architecture composed of multiple layers of interconnected processing units (neurons) that automatically learn hierarchical representations from data to perform tasks such as classification, prediction, or generation.
• B. neural network design method
  A neural network design method is a systematic approach for selecting, structuring, and configuring neural network architectures and training procedures to solve specific computational or learning tasks.
• C. deep learning framework
  A deep learning framework is a software library or platform that provides tools, abstractions, and optimized components to design, train, and deploy neural network models efficiently.
• D. network architecture
  A network architecture is the structured design and organization of hardware, software, protocols, and communication paths that define how data flows and services are delivered within a computer network.
• E. deep learning library
  A deep learning library is a software framework that provides tools, abstractions, and optimized routines to design, train, and deploy neural network models.
• F. None of above.