7. Handwritten Vector (imitating STL-vector) (only encapsulation idea)

Handwritten Vector (imitating STL-vector) (only encapsulation idea) /********************************************** *************************** > File Name: vector.cpp > Author:Xiao Yuheng > Mail:[email protected] > Created Time: Wed Nov 1 07:04:57 2023 *************************************************** ************************/ ? #include <iostream> #include <cstring> ? using namespace std; ? int *allocate(int n) { return new int[n]; } void destroy(int *data) { delete[] data; } ? class […]

Handwritten digit recognition–deep learning experiment

Get the experimental source code yourself: The code I made myself has a prediction accuracy of only 94% Neural network experiment report source code.zip – Lan Zuoyun The experimental source code answers and information given by the teacher have a prediction accuracy of up to 99% Deep learning experiment report.zip – Lanzuo Cloud In a […]

Spring – Handwriting simulates the underlying principles of Spring

Handwritten Spring Define configuration class AppConfig @ComponentScan(“com.spring.zsj”) public class AppConfig { @Bean public ApplicationListener applicationListener() { return new ApplicationListener() { @Override public void onApplicationEvent(ApplicationEvent event) { System.out.println(“An event was received” + event); } }; } } Define container ZSJApplicationContext public class ZSJApplicationContext { private Class configClass; private Map<String,BeanDefinition> beanDefinitionMap =new HashMap<>();//bean definition private Map<String,Object> singleObjects […]

A complete example of applying the CNN model trained on MNIST to recognize handwritten digit pictures (pictures from the Internet)

1 Think about how to apply the training model How can the MNIST model trained through CNN be applied to recognize pictures of handwritten digits (pictures come from the Internet)? This problem bothered me for 2 days. Many of the codes I found online were to train the model and call the model in a […]

[Deep Learning Case] Handwritten Number Project Implementation-2.Python Model Training

[Introduction to Deep Learning Tutorial] Handwritten Number Project Implementation-2.Python Model Training 4. Python implements model training based on the Pytorch framework 4.1 Training environment 4.2 Define data loader 4.3 Define the network (net, py) 4.4 Define the trainer (trainer.py) 4.5 Model training (main_MNIST.py) ? The source code and all source codes used in this project […]

Handwritten digit recognition model

Task input: a series of handwritten digit pictures, each of which is a 28×28 pixel matrix. Task output: After size normalization and centering, the corresponding digital labels from 0 to 9 are output. Prerequisite import paddle from paddle.nn import Linear import paddle.nn.functional as F import os import matplotlib.pyplot as plt import numpy as np Data […]

Deep learning handwritten digit recognition model

Table of Contents 1: Construction and preservation of handwritten digital models 2: Use and testing of handwritten digital model One: Construction and Saving of Handwritten Digital Model 1 Load data set # 1Load data digits_data = load_digits() You can briefly check the handwritten number set first. As shown below, you can vaguely see that the […]

[Machine Learning] Model Evaluation-Handwritten Digit Set Model Training and Evaluation

Article directory Preface 1. Loading of data sets 2. Divide into training set and test set, shuffle operation, two classifications 3. Training model and prediction 4. Model Evaluation 1. Cross-validation 2.Confusion Matrix-confusion matrix 2.1 Precision,recall,f1_sorce 2.2 The impact of ROC curve and threshold on the results 5. Summary Foreword Earlier we introduced common methods and […]

[Neural Network and Deep Learning] Using the MNIST data set to train a handwritten digit recognition model – [Attached complete training code]

[Neural Network and Deep Learning] Use the MNIST data set to train a handwritten digit recognition model – [complete training code attached] 1. Introduction to the MNIST data set MNIST data set structure 2. Model training ideas ①Load data ②Data preprocessing ③Build a model ④Configure model training method ⑤Training model ⑥Evaluation model ⑦Save the model […]

Handwritten signature on horizontal screen signature pad and rotated 90° to horizontal screen display base64

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