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HTML

              
                <html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <meta http-equiv="X-UA-Compatible" content="ie=edge">
    <title>DeeplearnJS logistic regresion demo</title>

    <!-- deeplearn.js -->
    <script src="https://unpkg.com/deeplearn@latest"></script>
    <!-- highcharts.js -->
    <script src="https://cdn.hcharts.cn/highcharts/highcharts.js"></script>
  
</head>
<body>
    <div id="app" style="width: 500px;height:400px;"></div>
    
    <script>
      (async function() {
        Highcharts.theme = {
   colors: ['#DF5353', '#90ee7e', '#f45b5b', '#7798BF', '#aaeeee', '#ff0066',
      '#eeaaee', '#55BF3B', '#DF5353', '#7798BF', '#aaeeee'],
   chart: {
      backgroundColor: {
         linearGradient: { x1: 0, y1: 0, x2: 1, y2: 1 },
         stops: [
            [0, '#2a2a2b'],
            [1, '#3e3e40']
         ]
      },
      style: {
         fontFamily: '\'Unica One\', sans-serif'
      },
      plotBorderColor: '#606063'
   },
   title: {
      style: {
         color: '#E0E0E3',
         textTransform: 'uppercase',
         fontSize: '20px'
      }
   },
   subtitle: {
      style: {
         color: '#E0E0E3',
         textTransform: 'uppercase'
      }
   },
   xAxis: {
      gridLineColor: '#707073',
      labels: {
         style: {
            color: '#E0E0E3'
         }
      },
      lineColor: '#707073',
      minorGridLineColor: '#505053',
      tickColor: '#707073',
      title: {
         style: {
            color: '#A0A0A3'
         }
      }
   },
   yAxis: {
      gridLineColor: '#707073',
      labels: {
         style: {
            color: '#E0E0E3'
         }
      },
      lineColor: '#707073',
      minorGridLineColor: '#505053',
      tickColor: '#707073',
      tickWidth: 1,
      title: {
         style: {
            color: '#A0A0A3'
         }
      }
   },
   tooltip: {
      backgroundColor: 'rgba(0, 0, 0, 0.85)',
      style: {
         color: '#F0F0F0'
      }
   },
   
   legend: {
      itemStyle: {
         color: '#E0E0E3'
      },
      itemHoverStyle: {
         color: '#FFF'
      },
      itemHiddenStyle: {
         color: '#606063'
      }
   },
   credits: {
      style: {
         color: '#666'
      }
   },
   labels: {
      style: {
         color: '#707073'
      }
   }
};

// Apply the theme
Highcharts.setOptions(Highcharts.theme);


// 建立假資料,1 代表智商 100 分以上,0 代表智商 100 分以下
const data = [] 
for (let i=0; i<200; i++) {
    let tmpX1 = Math.random() * 120 + 60;
    let tmpX2 = Math.random() * 120 + 60;
    data.push({
        x: tmpX1,
        y: tmpX2,
        c: tmpX1 > 100 && tmpX2 > 100 ? 1: 0
    });
}

/**
 * deeplearn.js 運算
 */
const x_list = [];
const y_list = [];

for (let elem of data) {
    x_list.push([elem.x, elem.y]);
    y_list.push(elem.c);
}

const x_data = dl.tensor2d(x_list);
const y_data = dl.tensor2d(y_list);

// 權重與偏差
const W = dl.variable(dl.zeros([1, 2]));
const B = dl.variable(dl.zeros([1]));

// logistic regression 模型
const f = x => dl.sigmoid(W.matMul(x.transpose()).add(B));
// loss function(log loss)
const loss = (pred, label) => dl.mean(dl.neg(dl.sum(dl.mul(label, dl.log(pred)))));

// 梯度優化
const learningRate = 0.001;
const optimizer = dl.train.sgd(learningRate);

// Training!
for (let i = 0; i < 1000; i++) {
  const cost = optimizer.minimize(() => loss(f(x_data), y_data), true);
}


// 用 dataSync 取得 training 結果
const wPredict = W.dataSync();
const bPredict = B.dataSync();
console.log(wPredict, bPredict);

// 計算切割線段
const data_line = [
    [60, parseFloat((180 * wPredict[0] + bPredict[0])/wPredict[1])],
    [180, parseFloat((60 * wPredict[0] + bPredict[0])/wPredict[1])]
];
console.log(data_line);

        
// 繪製圖形
const data_scatter1 = [];
const data_scatter2 = [];
for (let elem of data) {
    if (elem.x > 100 && elem.y > 100) {
        data_scatter1.push([elem.x, elem.y]);
    } else {
        data_scatter2.push([elem.x, elem.y]);
    }  
}
        
// Result
const options = {
    title: {
        text: 'deeplearn.js 你是聰明人嗎?'                 
    },
    xAxis: {
        title: {
          text: '智商'                 
        },
        min: 60,
        max: 180
    },
    yAxis: {
        title: {
          text: '書讀得多寡'                 
        },
        min: 60,
        max: 180
    },
    series: [
        {
            type: 'line',
            name: 'Decision Boundary', 
            color: '#fff600',
            data: data_line
        },  
        {
            type: 'scatter',
            name: 'Smart', 
            marker: {
                symbol: 'cross',  
                radius: 4         
            },
            color: '#FF0000',
            data: data_scatter1
        },
        {
            type: 'scatter',
            name: 'Stupid',
            marker: {
                symbol: 'cross',  
                radius: 4         
            },
            color: '#6B8E23',
            data: data_scatter2
        }
    ]
};
// 图表初始化函数
const chart = Highcharts.chart('app', options);
      })();

    </script>
</body>
</html>
              
            
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