Machine learning classic paper-reading notes-deep learning (Zhou Zhihua) - Code World

Machine learning classic paper-reading notes-deep learning (Zhou Zhihua)

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Origin blog.csdn.net/qq_42138927/article/details/105773138

Machine learning classic paper-reading notes-deep learning (Zhou Zhihua)

[Reading Notes] Xinzhiyuan: Why is deep learning deep? --Zhou Zhihua

Zhou Zhihua machine learning - learning performance metrics

Zhou Zhihua machine learning notes Chapter 2 model assessment

"Machine Learning" (Zhou Zhihua) study notes --- model evaluation and selection

"Machine Learning" Zhou Zhihua-Chapter 4 Reading Notes + Exercise Answers

[Machine Learning] Zhou Zhihua's Reading Notes Chapter 3 Linear Model

Machine Learning (Zhihua Zhou) Reading Notes---Chapter 2 Model Evaluation and Selection

Zhou Zhihua machine learning - model evaluation and selection

The decision tree machine learning - "machine learning" Zhou Zhihua the

Zhou Zhihua machine learning - Machine learning important conferences and journals

Machine learning the basics of articles - "machine learning" Zhou Zhihua the

Machine Learning (MACHINE LEARNING) [Zhou Zhihua version - "Watermelon book" - notes] DAY5- neural network

Machine Learning (MACHINE LEARNING) [Zhou Zhihua version - "Watermelon book" - notes] DAY1- Introduction

Machine Learning (MACHINE LEARNING) [Zhou Zhihua version - "Watermelon book" - notes] DAY2- model evaluation and selection

Machine Learning (MACHINE LEARNING) [Zhou Zhihua version - "Watermelon book" - notes] DAY14- probabilistic graphical models

Machine Learning (MACHINE LEARNING) [Zhou Zhihua version - "Watermelon book" - notes] DAY3- linear model

From zero learning "machine learning" - Zhou Zhihua (watermelon book) Handwritten notes (a) Introduction

Machine Learning (MACHINE LEARNING) [Zhou Zhihua version - "Watermelon book" - notes] DAY13- semi-supervised learning

Machine Learning (Zhou Zhihua) After-Class Exercises

Zhou Zhihua "machine learning" Watermelon refined version of the book notes coming! Chapter 16 full version

[Watermelon Book] Zhou Zhihua's "Machine Learning" study notes and exercises (1)

Zhou Zhihua Machine Learning Eating Melon Tutorial Chapter 1 Study Notes

"Machine Learning (Zhou Zhihua)" Notes - evaluation and selection (6) model - a measure of the classification task performance: ROC curves and AUC calculated and plotted

"Machine Learning (Zhou Zhihua)" Chapter8 Integrated Learning After-Class Exercise Answers

Zhou Zhihua "machine learning" exercises solve: Ch5.7 - RBF Network Experiment

Zhou Zhihua - Machine Learning Watermelon Book - Chapter 3 Exercise 3.5 LDA

Python implements machine learning (Zhou Zhihua) reference answer Chapter 5 Neural Network 5.7 RBF Neural Network

According to the content of Chapter 5 of "Machine Learning" (Zhou Zhihua), use Python to implement the standard BP algorithm

Eat watermelon book with me | Super easy to understand | Machine learning | Zhou Zhihua

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