TRANSFER MODEL TRAINING SYSTEM AND METHOD

臺灣資安卓越深耕-半導體及資通訊供應鏈資安關鍵技術發展計畫

田謹維、黃咨詠、陳尚文

遷移式模型訓練系統包含相互耦接的記憶體以及處理器。記憶體儲存指令。處理器用以存取指令以執行以下步驟：存取原始資料集，其中原始資料集係蒐集自第一類型裝置；應用該原始資料集以訓練特徵萃取模型、轉移特徵以及原始分類模型；以及遷移特徵萃取模型、轉移特徵以及原始分類模型到廠區的主機，使主機直接應用於特徵萃取模型以及轉移特徵，且根據實地資料集訓練原始分類模型，產生對應該廠區的適應分類模型。

A system for training transfer models that includes a memory and a processor coupling to each other. The memory stores instructions. The processor accesses the instructions to retrieve raw datasets from a first-type device and train a feature extraction model, a transfer feature and a preliminary classify model based on the raw datasets. The processor further transfers the feature extraction model, the transfer feature and the preliminary classify model to a host of a manufacturer so that the host directly applies the feature extraction model and the transfer feature, and retrains the preliminary classify model as an adapted classify model based on practical datasets.