'optimizer' 태그의 글 목록

optimizer 2

Loss function A gradient-based optimization strategy to train a model f ( x ) " data-ke-type="html">HTML 삽입미리보기할 수 없는 소스 using some loss function l ( f ( x i ) , y i ) where ( x i , y i ) " data-ke-type="html">HTML 삽입미리보기할 수 없는 소스 are some input-output pair. It is used to help the model determine how "wrong" it i..

Deep Learning 2022.03.17

Linear Regression, Simple Linear Regression, Multiple Linear Regression, MSE, Cost function, Loss function, Objective function, Optimizer, Gradient Descent

Regression A prediction comes out within a range of any continuous value such as weight, age, speed. Linear Regression It is used for finding linear relationship between dependent and one or more predictors. x------>y affect x : affect to y, predictor or independent variable y : subordinated by x, response or dependent variable 1. Simple Linear Regression Presume one x. y=Wx+b W : Weight, gradie..

Machine Learning 2021.03.16

Regular Expression, batch size, abstractmethod, yield from, zeros, axis, Filter, Sigmoid function, kafka, docker-compose, d3js, nvidia-smi, selectall, forward propagation, classmethod, textdistance, Step Function, randn, 3D Rotation Matrix, global variable,

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optimizer 2

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