Decoding Neural Networks: Forward vs. Backward Propagation
Peel back the layers of a neural network, and two core processes emerge: forward and backward propagation. While the forward pass predicts and evaluates, the backward pass learns and refines. Dive in to discover how these twin processes power the engine of deep learning, turning data into discerning predictions.