Caffe CIFAR-10 Build and Training

This skill provides comprehensive procedural guidance for working with the legacy Caffe machine learning framework, specifically focused on building from source on Ubuntu/Debian systems and training models using the CIFAR-10 dataset. It covers critical setup steps including dependency management, Makefile.config optimization for CPU-only environments, LMDB dataset preparation, and solver configuration. By following these structured phases, users can navigate common build pitfalls like memory exhaustion and path misconfigurations while ensuring training outputs and model checkpoints are correctly generated.

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