Backpropagation, a fundamental concept in artificial neural networks and machine learning, operates as a supervised learning algorithm for training neural networks. The term itself stems from the process of propagating error information backward through the network. In essence, backpropagation seeks to minimize the gap between a neural network's predicted output and the actual target values. … Continue reading Demystifying Neural Networks: A Deep Dive into Manual Backpropagation →