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深度學習（線性回歸預測）
深度學習（線性回歸預測）
軟體工程師
・
Taipei City, Taiwan
深度學習（線性回歸預測）
使用 sklearn 建立同心圓資料，外圍假設 negative 內圈假設 postive
左圖為 loss 右圖為 Model 訓練成果，可以看出 Model 已經可以很好的去分類訓練資料
測試 model
利用 sklearn 建立假設資料，寫出二次線性回歸模型，利用假設資料做模型訓練，最後將結果繪製出來
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