EP98 | AI論文輕鬆聊：AI 訓練不再過擬合！一集搞懂 Label Smoothing、MixUp、CutMix、RandAugment

from stanCode daily AI科技新聞 · host stanCode標準程式教育機構

本集重點： 💡資料增強(Data Augmentation)的核心精神：提升泛化與穩定性 💡AlexNet：奠定資料增強的經典基礎 💡四大進階方法演進 💡Mixup 與 CutMix 差異 💡最新、最強的AI模型怎麼做資料增強？ 🗣️：Jerry、文怡製作團隊：Jerry、文怡 💻 stanCode標準程式教育機構－你也值得更好的教育 Facebook｜https://www.facebook.com/stancode.tw Instagram｜https://www.instagram.com/stancode_tw/ YouTube｜https://www.youtube.com/@stancode7228/videos Website｜https://www.stancode.tw/ TikTok｜https://www.tiktok.com/@standardcoding -- Hosting provided by SoundOn

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EP98 | AI論文輕鬆聊：AI 訓練不再過擬合！一集搞懂 Label Smoothing、MixUp、CutMix、RandAugment

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