关于
The Neural Network Trainer skill empowers Claude to manage the entire lifecycle of a machine learning training job, ensuring that essential pre-flight requirements like logging backends and validation datasets are correctly configured. It provides a standardized framework for setting up optimizers, learning rate schedules, and checkpointing while offering real-time monitoring for training anomalies like loss spikes, NaN values, or overfitting. Compatible with PyTorch, HuggingFace, and JAX, it enforces production-grade defaults to prevent common training failures and provides comprehensive post-run reports with actionable recommendations for model improvement.
