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- Add 17 intermediate test points across 6 modules for immediate student feedback - Tensor module: Tests after creation, properties, arithmetic, and operators - Activations module: Tests after each activation function (ReLU, Sigmoid, Tanh, Softmax) - Layers module: Tests after matrix multiplication and Dense layer implementation - Networks module: Tests after Sequential class and MLP creation - CNN module: Tests after convolution, Conv2D layer, and flatten operations - DataLoader module: Tests after Dataset interface and DataLoader class - All tests include visual progress indicators and behavioral explanations - Maintains NBGrader compliance with proper metadata and point allocation - Enables steady forward progress and better debugging for students - 100% test success rate across all modules and integration testing