Machine Learning | 機器學習

  • 機器學習是什麼?
    機器學習(Machine Learning) 是電腦系統使用演算法和統計模型來有效執行特定任務的科學研究,無需使用明確的指令,而是依靠模型(models)和推論(inference)。它被視為人工智慧的一個子集。

  • 為何需要?
    一個好的人工智慧需要時間來開發和訓練,又可稱為機器學習的過程,它通常需要大量的時間和精力來分析和調整。為了縮短開發時間,良好的機器學習協定和基礎結構是理想的選擇。

  • 誰會用到?
    如果有興趣開發任何形式的自動或半自動智慧設備,能夠根據以前經過訓練的Big Data做出相對應的回饋做出決策,那就需要進行培訓調整你的人工智慧。因此,機器學習是過程中必要的一環。

  • 技嘉的特色
    我們的DNN學習架構可以通過自動參數調整和更好的 GPU 記憶體利用率來優化批次處理操作。通過採用圖形介面,讓非技術使用者也能方便的操作實驗。DNN可以大幅縮短訓練過程中反複試驗的時間,使其成為將傳統企業轉型為智能世代的完美跨領域專業 AI 培訓計畫。。

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