Tutorials

This section provides step-by-step tutorials for using PyNAS effectively.

• Basic Neural Architecture Search
  • Overview
  • Key Concepts
  • Step 1: Setting Up Data
  • Step 2: Creating a Population
  • Step 3: Initial Population Generation
  • Step 4: Training and Evaluation
  • Step 5: Evolution Process
  • Step 6: Analyzing Results
  • Step 7: Model Export
  • Understanding the Output
  • Next Steps
• Advanced Configuration
  • Configuration Files
  • Custom Search Spaces
  • Custom Fitness Functions
  • Multi-Objective Optimization
  • Advanced Evolution Strategies
  • Performance Monitoring
  • Hyperparameter Optimization
  • Next Steps
• Custom Architectures
  • Overview
  • Creating Custom Blocks
  • Integrating Custom Blocks
  • Evolutionary Configuration
  • Advanced Customization
  • Architecture Constraints
  • Complete Example
  • Next Steps
• Edge Deployment
  • Overview
  • Edge Device Considerations
  • Model Optimization
  • Deployment Frameworks
  • Mobile Deployment
  • Performance Monitoring
  • Complete Deployment Pipeline
  • Best Practices

Basic Neural Architecture Search

Learn the fundamentals of using PyNAS for neural architecture search with genetic algorithms.

Basic Neural Architecture Search

Advanced Configuration

Explore advanced configuration options and parameter tuning strategies.

Advanced Configuration

Custom Architecture Components

Create custom building blocks and extend PyNAS with your own components.

Custom Architectures

Edge Device Deployment

Optimize and deploy your discovered architectures on edge devices.

Edge Deployment