2 docs tagged with "neural-networks"

Mastering the Chain Rule, the fundamental calculus tool for differentiating composite functions, and its direct application in the Backpropagation algorithm for training neural networks.

Understanding the Jacobian matrix, its role in vector-valued functions, and its vital importance in backpropagation and modern deep learning frameworks.