1. Overview
  2. Why Burn?
  3. Getting started
    1. Examples
  5. Basic Workflow: From Training to Inference
    1. Model
    2. Data
    3. Training
    4. Backend
    5. Inference
    6. Conclusion
  7. Building Blocks
    1. Backend
    2. Tensor
    3. Autodiff
    4. Module
    5. Learner
    6. Metric
    7. Config
    8. Record
    9. Dataset
  9. Custom Training Loop
  10. Saving & Loading Models
  11. Import Models
    1. ONNX Model
    2. PyTorch Model
  13. Models & Pre-Trained Weights
  14. Quantization (Beta)
  15. Advanced
    1. Backend Extension
      1. Custom cubecl Kernel
      2. Custom WGPU Kernel
    3. Custom Optimizer
    4. WebAssembly
    5. No-Std