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‎.gitignore

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HELP.md
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target/
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!.mvn/wrapper/maven-wrapper.jar
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!**/src/main/**
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!**/src/test/**
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### STS ###
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.apt_generated
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.classpath
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.factorypath
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.project
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.settings
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.springBeans
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.sts4-cache
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### IntelliJ IDEA ###
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.idea
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*.iws
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*.iml
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*.ipr
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### NetBeans ###
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/nbproject/private/
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/nbbuild/
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/dist/
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/nbdist/
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/.nb-gradle/
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build/
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### VS Code ###
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.vscode/

‎.mvn/wrapper/MavenWrapperDownloader.java

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/*
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Licensed to the Apache Software Foundation (ASF) under one
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or more contributor license agreements. See the NOTICE file
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distributed with this work for additional information
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regarding copyright ownership. The ASF licenses this file
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to you under the Apache License, Version 2.0 (the
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"License"); you may not use this file except in compliance
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with the License. You may obtain a copy of the License at
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https://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing,
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software distributed under the License is distributed on an
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"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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KIND, either express or implied. See the License for the
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specific language governing permissions and limitations
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under the License.
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*/
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import java.io.File;
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import java.io.FileInputStream;
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import java.io.FileOutputStream;
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import java.io.IOException;
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import java.net.URL;
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import java.nio.channels.Channels;
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import java.nio.channels.ReadableByteChannel;
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import java.util.Properties;
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public class MavenWrapperDownloader {
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/**
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* Default URL to download the maven-wrapper.jar from, if no 'downloadUrl' is provided.
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*/
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private static final String DEFAULT_DOWNLOAD_URL =
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"https://repo.maven.apache.org/maven2/io/takari/maven-wrapper/0.4.2/maven-wrapper-0.4.2.jar";
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/**
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* Path to the maven-wrapper.properties file, which might contain a downloadUrl property to
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* use instead of the default one.
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*/
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private static final String MAVEN_WRAPPER_PROPERTIES_PATH =
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".mvn/wrapper/maven-wrapper.properties";
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/**
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* Path where the maven-wrapper.jar will be saved to.
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*/
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private static final String MAVEN_WRAPPER_JAR_PATH =
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".mvn/wrapper/maven-wrapper.jar";
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/**
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* Name of the property which should be used to override the default download url for the wrapper.
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*/
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private static final String PROPERTY_NAME_WRAPPER_URL = "wrapperUrl";
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public static void main(String args[]) {
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System.out.println("- Downloader started");
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File baseDirectory = new File(args[0]);
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System.out.println("- Using base directory: " + baseDirectory.getAbsolutePath());
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// If the maven-wrapper.properties exists, read it and check if it contains a custom
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// wrapperUrl parameter.
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File mavenWrapperPropertyFile = new File(baseDirectory, MAVEN_WRAPPER_PROPERTIES_PATH);
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String url = DEFAULT_DOWNLOAD_URL;
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if (mavenWrapperPropertyFile.exists()) {
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FileInputStream mavenWrapperPropertyFileInputStream = null;
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try {
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mavenWrapperPropertyFileInputStream = new FileInputStream(mavenWrapperPropertyFile);
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Properties mavenWrapperProperties = new Properties();
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mavenWrapperProperties.load(mavenWrapperPropertyFileInputStream);
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url = mavenWrapperProperties.getProperty(PROPERTY_NAME_WRAPPER_URL, url);
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} catch (IOException e) {
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System.out.println("- ERROR loading '" + MAVEN_WRAPPER_PROPERTIES_PATH + "'");
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} finally {
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try {
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if (mavenWrapperPropertyFileInputStream != null) {
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mavenWrapperPropertyFileInputStream.close();
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}
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} catch (IOException e) {
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// Ignore ...
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}
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}
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}
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System.out.println("- Downloading from: : " + url);
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File outputFile = new File(baseDirectory.getAbsolutePath(), MAVEN_WRAPPER_JAR_PATH);
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if (!outputFile.getParentFile().exists()) {
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if (!outputFile.getParentFile().mkdirs()) {
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System.out.println(
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"- ERROR creating output direcrory '" + outputFile.getParentFile().getAbsolutePath() + "'");
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}
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}
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System.out.println("- Downloading to: " + outputFile.getAbsolutePath());
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try {
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downloadFileFromURL(url, outputFile);
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System.out.println("Done");
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System.exit(0);
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} catch (Throwable e) {
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System.out.println("- Error downloading");
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e.printStackTrace();
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System.exit(1);
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}
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}
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private static void downloadFileFromURL(String urlString, File destination) throws Exception {
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URL website = new URL(urlString);
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ReadableByteChannel rbc;
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rbc = Channels.newChannel(website.openStream());
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FileOutputStream fos = new FileOutputStream(destination);
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fos.getChannel().transferFrom(rbc, 0, Long.MAX_VALUE);
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fos.close();
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rbc.close();
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}
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}

‎.mvn/wrapper/maven-wrapper.jar

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‎.mvn/wrapper/maven-wrapper.properties

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distributionUrl=https://repo.maven.apache.org/maven2/org/apache/maven/apache-maven/3.6.0/apache-maven-3.6.0-bin.zip

‎demo01/init/t_example_data.sql

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/*
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Navicat Premium Data Transfer
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Source Server : localhost
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Source Server Type : MySQL
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Source Server Version : 50636
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Source Host : localhost:3306
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Source Schema : test
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Target Server Type : MySQL
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Target Server Version : 50636
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File Encoding : 65001
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Date: 23/10/2019 16:15:09
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*/
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SET NAMES utf8mb4;
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SET FOREIGN_KEY_CHECKS = 0;
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-- ----------------------------
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-- Table structure for t_example_data
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-- ----------------------------
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DROP TABLE IF EXISTS `t_example_data`;
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CREATE TABLE `t_example_data` (
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`x` float(20,12) DEFAULT NULL,
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`y` float(20,12) DEFAULT NULL
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) ENGINE=InnoDB DEFAULT CHARSET=latin1;
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SET FOREIGN_KEY_CHECKS = 1;

‎demo01/pom.xml

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<?xml version="1.0" encoding="UTF-8"?>
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<project xmlns="http://maven.apache.org/POM/4.0.0"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<parent>
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<artifactId>deeplearning-java</artifactId>
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<groupId>com.codingapi.deepleaning</groupId>
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<version>0.0.1-SNAPSHOT</version>
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</parent>
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<modelVersion>4.0.0</modelVersion>
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<artifactId>demo01</artifactId>
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</project>

‎demo01/src/main/java/com/codingapi/deeplearning/demo01/DeepLearningJavaDemo01Application.java

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package com.codingapi.deeplearning.demo01;
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import org.mybatis.spring.annotation.MapperScan;
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import org.springframework.boot.SpringApplication;
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import org.springframework.boot.autoconfigure.SpringBootApplication;
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@SpringBootApplication
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@MapperScan(basePackages = "com.codingapi.deeplearning.demo01.mapper")
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public class DeepLearningJavaDemo01Application {
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public static void main(String[] args) {
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SpringApplication.run(DeepLearningJavaDemo01Application.class, args);
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}
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}

‎demo01/src/main/java/com/codingapi/deeplearning/demo01/db/RegressionFunctionExampleData.java

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package com.codingapi.deeplearning.demo01.db;
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import com.codingapi.deeplearning.demo01.domian.ExampleData;
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import com.codingapi.deeplearning.demo01.learn.ExampleDataArrays;
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import com.codingapi.deeplearning.demo01.learn.RegressionFunction;
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import com.codingapi.deeplearning.demo01.mapper.ExampleDataMapper;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Component;
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import java.math.BigDecimal;
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import java.util.List;
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/**
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* @author lorne
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* @date 2019-10-22
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* @description y = 1+5x
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*/
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@Component
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public class RegressionFunctionExampleData {
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@Autowired
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private ExampleDataMapper exampleDataMapper;
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public void randData(int number,double a,double b){
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exampleDataMapper.tuncate();
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RegressionFunction regressionFunction = new RegressionFunction(a,b);
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for(int i=0;i<number;i++){
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//为什么将x/number ,是为了梯度下降可更高效的操作，而做的特征缩放
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BigDecimal x = new BigDecimal(i).divide(new BigDecimal(number),5,BigDecimal.ROUND_UP);
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BigDecimal y = regressionFunction.getY(x);
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exampleDataMapper.save(new ExampleData(x,y));
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}
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}
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public List<ExampleData> findAll(){
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return exampleDataMapper.findAll();
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}
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public ExampleDataArrays loadData(){
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List<ExampleData> exampleDataList = findAll();
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ExampleDataArrays exampleDataArrays = new ExampleDataArrays();
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int size = exampleDataList.size();
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double [] x = new double[size];
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double [] y = new double[size];
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for(int i=0;i<size;i++){
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ExampleData exampleData = exampleDataList.get(i);
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x[i] = exampleData.getX().doubleValue();
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y[i] = exampleData.getY().doubleValue();
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}
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exampleDataArrays.setX(x);
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exampleDataArrays.setY(y);
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return exampleDataArrays;
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}
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}

‎demo01/src/main/java/com/codingapi/deeplearning/demo01/domian/ExampleData.java

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package com.codingapi.deeplearning.demo01.domian;
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import lombok.AllArgsConstructor;
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import lombok.Data;
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import lombok.NoArgsConstructor;
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import java.math.BigDecimal;
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/**
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* @author lorne
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* @date 2019-10-22
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* @description
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*/
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@Data
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@AllArgsConstructor
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@NoArgsConstructor
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public class ExampleData {
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private BigDecimal x;
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private BigDecimal y;
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}

‎demo01/src/main/java/com/codingapi/deeplearning/demo01/learn/CostFunction.java

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package com.codingapi.deeplearning.demo01.learn;
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/**
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* 代价函数
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* @author lorne
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* @date 2019-10-22
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* J(θ0,θ1) = 1/2m ∑... (对不起，实在打不出来，看图片吧)
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* 见:images/cost&hypothesis.jpeg
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*
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*/
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public class CostFunction {
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//实际的Y值
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private double[] y;
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//通过假如函数计算出来的Y值 y^
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private double[] yy;
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//假如函数与实际值的初始化
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public CostFunction(double[] y, double[] yy) {
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this.y = y;
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this.yy = yy;
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}
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public double getVal(){
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double sum = 0;
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int number = y.length;
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//计算差值的平方
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for(int i=0;i<number;i++){
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sum+=(yy[i]-y[i])*(yy[i]-y[i]);
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}
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//计算平均值
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return sum/number/2;
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}
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}

‎demo01/src/main/java/com/codingapi/deeplearning/demo01/learn/ExampleDataArrays.java

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package com.codingapi.deeplearning.demo01.learn;
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import lombok.Data;
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/**
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* @author lorne
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* @date 2019-10-23
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* @description
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*/
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@Data
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public class ExampleDataArrays {
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private double[] x;
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private double[] y;
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}

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