Vectors, Matrices & Operations

#Learning Objectives

• Build a Matrix class with element-wise operations, matrix multiplication, transpose, determinant, and inverse
• Distinguish element-wise multiplication from matrix multiplication and explain when each applies
• Implement a single dense neural network layer (relu(W @ x + b)) using only the from-scratch Matrix class
• Explain broadcasting rules and how bias addition works in neural network frameworks