[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["필요한 정보가 없음","missingTheInformationINeed","thumb-down"],["너무 복잡함/단계 수가 너무 많음","tooComplicatedTooManySteps","thumb-down"],["오래됨","outOfDate","thumb-down"],["번역 문제","translationIssue","thumb-down"],["샘플/코드 문제","samplesCodeIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2024-08-13(UTC)"],[[["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."]]],[]]
