Perceptron: 편집 역사

2024년 11월 5일 (화)

• 최신이전 05:362024년 11월 5일 (화) 05:36‎ 핵톤 토론 기여‎ 4,388 바이트 +4,388‎ Created page with "The Perceptron is a type of artificial neuron and one of the simplest models in machine learning, used for binary classification tasks. It is a linear classifier that learns to separate data into two classes by finding an optimal hyperplane. Originally developed in the 1950s, the perceptron laid the foundation for more complex neural network architectures. ==Structure of a Perceptron== A perceptron consists of several key components: *'''Inputs''': The feature values fro..." 태그: 시각 편집