Neural Network Specialist — Document Workflow¶
Description: Generate documentation summary
When to Use¶
Use the document workflow when you need to generate documentation summary.
Input Requirements¶
- Training datasets with schema documentation and provenance metadata
- Model architecture specifications and design requirements
- Hardware resource profiles (GPU/TPU memory, compute budget, latency targets)
- Evaluation criteria and fairness metrics for model assessment
Process¶
- Initialize — Set up the document context for Neural Network Specialist
- Execute — Perform the document operation following Neural Network Specialist's style
- Validate — Check output against quality gates
- Handoff — Deliver results to downstream personas
Output¶
- Trained neural network models with serialized weights and architecture configs
- Training reports with loss curves, gradient statistics, and convergence analysis
- Model cards documenting performance, limitations, and intended use
- Ablation study results showing architecture and hyperparameter sensitivity
Quality Gates¶
- All training runs must use fixed random seeds for reproducibility
- Model cards must be generated for every production model
- Fairness evaluation must be conducted across defined demographic groups
- Mixed-precision training must be validated against full-precision baselines