(Deep Learning) The basic concepts of precision and recall - Code World

(Deep Learning) The basic concepts of precision and recall

Enterprise 2023-09-05 23:43:06 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/qq_40728667/article/details/132539064

(Deep Learning) The basic concepts of precision and recall

Precision and Recall, AP, mAP in deep learning

Some basic concepts of deep learning - an introductory tutorial

What are the basic principles and concepts of deep learning?

(1) Basics of Deep Reinforcement Learning [Basic Concepts]

Python deep learning target detection evaluation indicators: mAP, Precision, Recall, AP, IOU, etc.

PytorchCNN project construction 7 --- deep learning model evaluation index Accuracy, Precision, Recall, ROC curve

[Learning] Precision and Recall depth evaluation to understand

Precision and recall

Recall and Precision

Commonly used evaluation indicators for deep learning (Accuracy, Recall, Precision, HR, F1 score, MAP, MRR, NDCG) - recommendation system

[Summary of model evaluation indicators in deep learning (confusion matrix, recall, precision, F1, AUC area, ROC curve, ErrorRate)]

On one of deep learning: basic concepts and classification neural network

Deep Learning in the Browser: TensorFlow.js (1) Basic Concepts

Study Notes: Deep Learning (1) - Basic Concepts and Activation Functions

Several indicators for machine learning and deep learning classification problems: accuracy, precision, recall, F1-score, Macro-F1, Micro-F1

For binary classification machine learning model accuracy (Precision), recall (Recall), F value (F-Measure) learning

Notes --classification_report & Machine Learning precision / recall / Fl value

Carding machine learning basis - (accuracy, precision, recall Discussion)

Machine Learning Notes - IOU, Precision, Recall, F-score

Three metrics for measuring machine learning models: accuracy, precision, and recall.

Three metrics for measuring machine learning models: accuracy, precision, and recall.

Three metrics for measuring machine learning models: accuracy, precision, and recall.

NIO learning (a): Basic Concepts

Basic Concepts of Progressive Learning

Basic Concepts of Progressive Learning

Tensorflow Learning: Basic Concepts

Reinforcement Learning: Basic Concepts

Huashu "Deep Learning" and Code Implementation: 01 Linear Algebra: Basic Concepts + Code Implementation of Basic Operations

A picture to understand precision, recall

Recommended

Ranking

软件架构师必考概念整理

3 questions per day (25)

Digital image processing low-pass, high-pass, band-stop and band-pass filters

Canvas Learning Gorgeous Ball Rolling Electronic Clock

js monitor page size changes

MATLAB SCI paper drawing and drawing window size setting

"C++ Programming Principles and Practice" Notes Chapter 14 Designing Graphics Classes

sed command summary

[.net basics of object-oriented programming] (19) LINQ use

JetBrains report: Scala/Go/Kotlin have the highest salaries, Objective-C is declining

Daily

More

2025-03-02(0)

2025-03-01(0)

2025-02-28(0)

2025-02-27(0)

2025-02-26(0)

2025-02-25(0)

2025-02-24(0)

2025-02-23(0)

2025-02-22(0)

2025-02-21(0)