[null,null,["最后更新时间 (UTC)：2024-08-13。"],[[["This module explores neural networks, a model architecture designed to automatically identify nonlinear patterns in data, eliminating the need for manual feature cross experimentation."],["You will learn the fundamental components of a deep neural network, including nodes, hidden layers, and activation functions, and how they contribute to prediction."],["The module covers the training process of neural networks, using the backpropagation algorithm to optimize predictions and minimize loss."],["Additionally, you will gain insights into how neural networks handle multi-class classification problems using one-vs.-all and one-vs.-one approaches."],["This module builds on prior knowledge of machine learning concepts such as linear and logistic regression, classification, and working with numerical and categorical data."]]],[]]
