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Expand migration guide with comprehensive Context API training documentation
Added extensive training documentation to migration_guide.md: - Updated Basic Training Step with Context API examples - Added comprehensive "Training with the Context API" section with patterns: * Dynamic learning rate with per-step data updates * Batched training with symbolic indexing * Inference after training - Side-by-side PyTorch comparisons for all examples - New "Demystifying Train" section showing Train module internals: * Compared grad_update and sgd_update implementations with PyTorch * Demonstrated compilation vs eager execution differences * Examples of custom optimizers (Adam) and training patterns * Emphasized Train as a transparent recipe book, not black magic Also removed non-existent Train.sgd_step function that was incorrectly introduced during refactoring - compilation should happen once outside loops. Fixed learning_rate parameter to be a tensor (not float) in all examples, and corrected data advancement in training loops. 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
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