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- Add Xavier and He weight initialization methods for proper convergence - Implement complete NeuralNetwork class with parameter management - Add comprehensive systems analysis sections (memory, performance, scaling) - Complete all TODO implementations (Sequential forward, MLP creation) - Add ML systems focus with production context and deployment patterns - Include memory profiling and computational complexity analysis - Fix ML systems thinking questions with architectural insights - Follow testing standards with wrapped test functions