All glossary terms
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Neural Architecture Search (NAS)

Automated methods for designing optimal neural network architectures rather than manual design.

In more detail

NAS uses reinforcement learning, evolutionary algorithms, or gradient-based methods to search the architecture space. Reduces manual design effort but requires significant computation. Discovering architectures like EfficientNet and NASNet.

Examples

  • Auto-ML systems
  • Neural architecture search
  • AutoML platforms

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