Why logistic regression loss function negated

Enterprise 2020-04-09 21:00:59 views: null

In the logistic regression, after logarithmic follows
Why logistic regression loss function negated

Both sides went into a minus sign
Why logistic regression loss function negated

And -log (y) is characterized by a function, y smaller the larger the value -log (y), since it becomes minimization of y, so using gradient descent, y is the minimum required.
So loss function defined as
Why logistic regression loss function negated

And determining the minimum value.

Guess you like

Origin blog.51cto.com/12597095/2486137

Why logistic regression loss function negated

Logistic regression with Perceptron similarities and differences - loss function

Logistic regression and loss function derivation derivative

The second week of the neural network infrastructure 2.3 logistic regression loss function

Logistic regression, activation function sigmoid, loss and optimization, case code implementation

[Gradient method, Newton method Matlab example] Iteratively solve the minimum value of the loss function of the logistic regression problem

Why does the loss function of linear regression use least squares instead of likelihood function?

[What-Why-How] logistic regression

The derivation of the cost function in this logistic regression is easier to understand

Chapter 5. Logistic regression: 1. Why is logistic regression needed? 1. Logistic Regression in sklearn 1.1 LogisticRegression

How Logistic Regression (logistic regression) model to achieve binary (why do classification)

logistic regression

Logistic Regression (Logistic Regression, LR)

[Notes] logistic regression Logistic Regression

Logistic Regression (Logistic Regression) Detailed

Loss of function of linear regression: linear regression machine learning (D)

Ridge regression, LASSO regression, elastic network and loss function in machine learning

R technical language LOWESS FIG logistic regression analysis in the form of the function

Demystify the relationship between logistic regression and sigmoid activation function

Python machine learning (5) logistic regression, decision boundary, cost function, gradient descent method to achieve linear and nonlinear logistic regression

Logistic regression classification algorithm of (Logistic Regression

Machine Learning-Logistic Regression Logistic Regression

Lecture6 Logistic Regression (Logistic Regression)

Logistic Regression Logistic regression (brief introduction)

Linear regression and logistic regression Regularization

Logistic regression and linear regression analysis

The Magic of Bounding Box Regression: Demystifying the Accurate and Efficient MPDIoU Loss Function

Target detection regression loss function 1: Comparison of L1 loss, L2 loss and Smooth L1 Loss

Recommended

Ranking

vue project automated build tools 1.0, support for multi-page build

JDBC add, update, delete data

SpringCloud combat service in response to the decline tutorial series (Chapter IV)

A segmentation fault (core dumped) error occurs when C+11 compiles and calls the PCL library

Django achieve websocket

Go语言并发之道--笔记1

Three-tier structure and application

Zhejiang data structure after-school exercise practice two 7-2 Reversing Linked List (25 points)

Front-end interview brushing day9 (updated daily high-frequency inspection points for front-end interviews)

The difference between the shell of the single and double quote

Daily

2024-05-02(0)

2024-05-01(4)

2024-04-30(36)

2024-04-29(5)

2024-04-28(12)

2024-04-27(29)

2024-04-26(22)

2024-04-25(32)

2024-04-24(30)

2024-04-23(30)