머신러닝/기계학습 관련 용어 정리
- 최초 등록일
- 2019.10.03
- 최종 저작일
- 2019.07
- 8페이지/ MS 워드
- 가격 1,000원
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"머신러닝/기계학습 관련 용어 정리"에 대한 내용입니다.
기계학습 - 오일석 지음
목차
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본문내용
1. MLP(multilayer perceptron): A multilayer perceptron (MLP) is a class of feedforward artificial neural network. A MLP consists of at least three layers of nodes: an input layer, a hidden layer and an output layer. MLP utilizes a supervised learning technique called backpropagation for training.
2. CNN(convolutional neural network): In deep learning, a CNN is a class of deep neural networks, most commonly applied to analyzing visual imagery. CNNs use a variation of multilayer perceptrons designed to require minimal preprocessing.
3. Hidden layer: A hidden layer in an artificial neural network is a layer in between input layers and output layers, where artificial neurons take in a set of weighted inputs and produce an output through an activation function.
4. Backpropagation: Backpropagation is a method used in artificial neural networks to calculate a gradient that is needed in the calculation of the weights to be used in the network.
참고 자료
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