Matrix multiplication explained (Maths Behind AI)
About this lesson
What is Matrix Multiplication and why is it important in Artificial Intelligence? In this video, we visually explain **matrix multiplication**, one of the most essential operations in the mathematics behind AI and Machine Learning. Matrix multiplication is used to transform data, combine features, and perform calculations inside neural networks. Every time an AI model processes input data, it relies heavily on matrix operations to compute outputs efficiently. Through simple visual animations, this video demonstrates how matrix multiplication works step by step and how it is used in real AI systems. In this video you will learn: • What matrix multiplication is • How rows and columns interact during multiplication • Step-by-step process of multiplying matrices • Why matrix multiplication is important in neural networks • How AI models use matrices to process data Understanding matrix multiplication is a key step toward learning how Machine Learning and Deep Learning models perform calculations internally. This channel explains AI concepts using clear visual explanations to make complex ideas simple and intuitive. Subscribe for more videos on: Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, and the mathematics behind AI. #artificialintelligence #machinelearning #aiexplained #matrix #matrixmultiplication #agenticai #generativeai
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