Expand description
Transfer learning module Transfer learning utilities for neural networks
This module provides tools for transfer learning, including:
- Pre-trained model weight loading and adaptation
- Layer freezing and unfreezing
- Fine-tuning utilities
- Domain adaptation tools
Structs§
- Compatibility
Report - Weight compatibility report
- Domain
Adaptation - Domain adaptation utilities
- Domain
Statistics - Domain statistics for adaptation
- Fine
Tuning Utilities - Fine-tuning utilities
- Layer
Config - Layer configuration for surgery operations
- Layer
Statistics - Statistics for tracking layer behavior during transfer learning
- Model
Config - Placeholder for model configuration In a real implementation, this would be the actual model configuration type
- Model
Surgery - Model surgery utilities for architectural changes
- Pretrained
Weight Loader - Pre-trained model weight loader
- Transfer
Learning Manager - Transfer learning manager
- Transfer
Learning Orchestrator - Advanced transfer learning orchestrator
- Transfer
Learning Setup Report - Transfer learning setup report
- Transfer
Learning State - Summary of transfer learning state
- Weight
Mismatch - Weight shape mismatch information
- Weight
Statistics - Weight statistics for analysis
Enums§
- Adaptation
Method - Domain adaptation methods
- Layer
State - Layer freezing state
- Surgery
Operation - Types of model surgery operations
- Transfer
Strategy - Transfer learning strategy
- Weight
Init Strategy - Weight initialization strategies for transfer learning