Expand description
Adaptive Neural Architecture Search (NAS) System for Optimization
This module implements sophisticated neural architecture search algorithms that adaptively design optimization strategies based on problem characteristics. The system can discover and evolve optimization architectures automatically.
Structs§
- AdaptiveNAS
System - Advanced Neural Architecture Search System for Optimization
- Architecture
Controller - Controller for generating architectures
- Architecture
Metrics - Performance metrics for architectures
- Architecture
Vocabulary - Vocabulary for architecture search
- Connection
- Connection between layers
- Layer
Config - Layer configuration in the architecture
- NASSearch
Stats - Search statistics
- Optimization
Architecture - Architecture for optimization algorithms
- Skip
Connection - Skip connection configuration
Enums§
- Connection
Type - Types of connections
- Hessian
Approx - Hessian approximation methods
- Layer
Type - Types of layers in optimization architectures
- Line
Search Method - Line search methods
- Normalization
Type - Types of normalization
- Optimizer
Component - Optimizer-specific components
- Skip
Type - Types of skip connections
Functions§
- nas_
optimize - Convenience function for NAS-based optimization
- placeholder