Backpropagation, intuitively | Deep Learning Chapter 3

This video explains backpropagation, the algorithm used to compute the gradient of a cost function in neural networks. It provides an intuitive walkthrough of how a single training example influences weight and bias adjustments, then discusses practical implementation like stochastic gradient descent. Viewers gain a clear conceptual understanding of the mechanics behind backpropagation without diving into calculus.