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This commit introduces the core building blocks for neural networks, including a naive matrix multiplication implementation and a Dense layer. It provides a foundation for constructing and experimenting with neural networks, emphasizing the concept of layers as tensor transformations and function composition. The module includes thorough testing and performance comparisons to demonstrate the importance of optimized operations.