Скачать или смотреть Intro to AI - W5/3 Tanjung Lesung President University

Detail : The source provides a structured overview of the essential steps involved in training an artificial neural network, detailing the process from input to learning. It begins by explaining how various forms of input data such as tabular features, pixels, or tokens are preprocessed and fed into the network. The core mechanism is then described, involving the computation of a weighted sum and the application of a nonlinear activation function within each neuron. This leads to the forward pass, where data propagates through layers to produce a prediction, which is then compared to the ground truth using a loss function. Finally, the text outlines the mechanism of back propagation for calculating gradients and updating parameters using an optimizer, repeating this cycle in a training loop over multiple epochs until the network converges and learns effectively.

By NotebookLM