- 對機器學習概念的基本理解
- 熟悉 Python 程式設計
- 使用庫進行數據處理的基本知識,如 Pandas
觀眾
- 數據科學家
- 人工智慧愛好者
預訓練模型是現代 AI 的基石,提供可適應各種應用的預構建功能。本課程向參與者介紹預訓練模型的基礎知識、架構和實際用例。參與者將學習如何利用這些模型完成文本分類、圖像識別等任務。
這種由講師指導的現場培訓(在線或現場)面向初級專業人員,他們希望瞭解預訓練模型的概念,並學習如何應用它們來解決實際問題,而無需從頭開始構建模型。
在本次培訓結束時,參與者將能夠:
- 瞭解預訓練模型的概念和優勢。
- 探索各種預先訓練的模型架構及其使用案例。
- 針對特定任務微調預先訓練的模型。
- 在簡單的機器學習項目中實施預訓練模型。
課程形式
- 互動講座和討論。
- 大量的練習和練習。
- 在即時實驗室環境中動手實施。
課程自定義選項
- 要申請本課程的定製培訓,請聯繫我們進行安排。
Introduction to Pre-trained Models
- 什麼是預訓練模型?
- 使用預訓練模型的好處
- 流行的預訓練模型(例如 BERT、ResNet)概述
瞭解預訓練模型架構
- 模型架構基礎知識
- 遷移學習和微調概念
- 如何構建和訓練預訓練模型
設置環境
- 安裝和配置 Python 和相關庫
- 探索預先訓練的模型存儲庫(例如 Hugging Face)
- 載入和測試預訓練模型
動手操作預訓練模型
- 使用預先訓練的模型進行文本分類
- 將預訓練模型應用於圖像識別任務
- 為自訂數據集微調預訓練模型
部署預訓練模型
- 匯出和保存微調模型
- 將模型整合到應用程式中
- 在生產環境中部署模型的基礎知識
挑戰和最佳實踐
- 瞭解模型限制
- 在微調過程中避免過擬合
- 確保合乎道德地使用 AI 模型
預訓練模型的未來趨勢
- 新興架構及其應用
- 遷移學習的進步
- 探索大型語言模型和多模態模型
總結和後續步驟
United Arab Emirates - Introduction to Pre-trained Models
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United Kingdom - Introduction to Pre-trained Models
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Tunisia - Introduction to Pre-trained Models
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Oman - Introduction to Pre-trained Models
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Kenya - Introduction to Pre-trained Models
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