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- Replace existing tests with comprehensive educational tests - Add 10 comprehensive test cases covering Sequential networks and MLP creation - Include different architectures (shallow, deep, wide), activation functions - Add real ML scenarios: spam detection, image classification, regression - Test network composition, parameter counting, and transfer learning - Provide detailed feedback, hints, and progress tracking - Follow inline-first testing approach for immediate feedback