Partial Derivatives explained (Maths Behind AI)

What are Partial Derivatives and why are they important in Artificial Intelligence? In this video, we visually explain **partial derivatives**, a key concept from calculus that plays a crucial role in Machine Learning and Deep Learning. Partial derivatives measure how a function changes with respect to one variable while keeping the other variables constant. In AI, they are used to calculate gradients, which help models understand how to adjust parameters like weights and biases during training. Through simple visual animations, this video demonstrates how partial derivatives work and how they are used in optimization techniques such as Gradient Descent. In this video you will learn: • What partial derivatives are • How functions change with multiple variables • How partial derivatives are calculated • How gradients are formed using partial derivatives • Why partial derivatives are essential for training neural networks Understanding partial derivatives is a key step toward learning how AI models optimize and improve their predictions. 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 #partialderivatives #aiexplained #agenticai #generativeai