Footer

    Download on the App StoreGet it on Google Play

    關於

    • 認識 VoiceTube
    • 學習服務介紹
    • 加入我們
    • 常見問題
    • 熱門搜尋主題
    • 企業英文培訓
    • 社群推廣分潤計畫

    服務總覽

    • 口說挑戰
    • 單字單句本
    • Hero 智能學習
    • Tutor 真人家教
    • Vclass 名師課程
    • Campus 教育版
    • 字典查詢
    • 匯入影片並生成字幕
    • 部落格

    精選頻道

    影片分級

    • A1 初級
    • A2 初級
    • B1 中級
    • B2 中高級
    • C1 高級
    • C2 高級

    隱私權˙條款˙
    ©2026 VoiceTube Corporation. All rights reserved

    generalize

    US /ˈdʒɛnərəˌlaɪz/

    ・

    UK /'dʒenrəlaɪz/

    B2 中高級英檢高級
    v.t./i.動詞 (及物/不及物)概括化;以偏概全
    Don’t generalize too much or we’ll lose the details

    影片字幕

    0.3 資料結構與演算法:選擇排序法 (0.3 Data Structures & Algorithms: Selection Sort)

    07:050.3 資料結構與演算法:選擇排序法 (0.3 Data Structures & Algorithms: Selection Sort)
    • Okay, anyway, so the basic idea is that we can even do this sorting process with other types of data, not just with integers, so it does generalize.

      好了,不管怎麼說,我們的基本想法是,我們甚至可以對其他類型的數據進行排序,而不僅僅是整數,所以它確實具有通用性。

    • So it does generalize.
    B1 中級

    生成式AI入門教學! (Introduction to Generative AI)

    22:08生成式AI入門教學! (Introduction to Generative AI)
    • The labeled data helps the neural network to learn the basic concepts of the task, while the unlabeled data helps the neural network to generalize to new examples.

      有標籤的數據有助於神經網絡學習任務的基本概念,而無標籤的數據則有助於神經網絡泛化到新的示例。

    • The labeled data helps the neural network to learn the basic concepts of the task, while the unlabeled data helps the neural network to generalize to new examples.

      深度學習模型或一般的機器學習模型可分為兩種類型:生成型和判別型。

    B1 中級

    黃宣和郭艾倫談 AI 的下一步 | Mercury Spheres (Sonya Huang and Sarah Guo on what's next in AI | Mercury Spheres)

    39:21黃宣和郭艾倫談 AI 的下一步 | Mercury Spheres (Sonya Huang and Sarah Guo on what's next in AI | Mercury Spheres)
    • This is an extremely mainstream theory in the foundation model labs that improving code reasoning will generalize to other types of reasoning and we should do a lot of it because we can generate and validate code, right?

      這是基礎模型實驗室的一個極為主流的理論,即改進代碼推理將推廣到其他類型的推理,我們應該做大量的推理,因為我們可以生成和驗證代碼,對嗎?

    • This is an extremely mainstream theory in the foundation model labs that improving code reasoning will generalize to other types of reasoning.

      好了,誰能拿到面前的麥克風,誰就能回答最後一個問題。

    B1 中級

    美國人分享在新加坡32年的經歷! (Ex-American about his 32 years in Singapore)

    18:30美國人分享在新加坡32年的經歷! (Ex-American about his 32 years in Singapore)
    • Like, I generalize, but let's say if you compare Asians to Westerners.

      有一位女士和我進行了談話,談話結束後,她看著我,說祝你好運。

    • I generalize, but let's say if you compare Asians to Westerners, was it difficult for you to get used to this kind of like how people interact with each other, like more in a shy way?

      我是以偏概全,但比方說,如果把亞洲人和西方人相比,你是否很難適應這種人與人之間的互動方式,比如更多的是害羞的方式?

    A2 初級

    AI 偏見無所遁形?如何徹底根除!| Runway (Bias in AI and How to Fix It | Runway)

    04:13AI 偏見無所遁形?如何徹底根除!| Runway (Bias in AI and How to Fix It | Runway)
    • Even with a very small subset of data, the model can learn to generalize from it.

      即使只有很小的數據子集,模型也能從中學習歸納。

    • Even with a very small subset of data, the model can learn to generalize from it.

      這就是多樣性微調的目的所在。

    B1 中級

    科學家揭露「錯誤健康資訊」!你也有疑問嗎? | Tech Support | WIRED Japan (生物科学者だけど「誤った健康情報」について質問ある? | Tech Support | WIRED Japan)

    22:08科學家揭露「錯誤健康資訊」!你也有疑問嗎? | Tech Support | WIRED Japan (生物科学者だけど「誤った健康情報」について質問ある? | Tech Support | WIRED Japan)
    • That's not going to be an accurate or representative research model because it's not going to give you data that you can then generalize to people.

      這不會是一個準確或具代表性的研究模型,因為它無法提供你可以推廣給人們的數據。

    • That's not going to be an accurate or representative research model because it's not going to give you data that you can then generalize to people.

      最終這些研究顯示,維生素 D 補充劑並未減輕疾病嚴重程度,並未縮短住院時間,並未減輕症狀嚴重程度,也未改善死亡率結果。

    B2 中高級

    14年了!我們如何改變了彼此! (How we've changed each other over 14 years together!)

    27:4614年了!我們如何改變了彼此! (How we've changed each other over 14 years together!)
    • I mean, it's almost impossible to generalize things or how people behave and stuff.
    A2 初級

    DLD13 - 已開發世界的發展 (Peter Thiel) (DLD13 - Developing the Developed World (Peter Thiel))

    57:44DLD13 - 已開發世界的發展 (Peter Thiel) (DLD13 - Developing the Developed World (Peter Thiel))
    • So I think, you know, if you had to generalize the question, it's a question about how far is the frontier of knowledge.

      在過去的

    B1 中級

    史蒂夫考夫曼:你不需要語言教學! (Steve Kaufmann: You Don’t Need Language Instruction)

    09:06史蒂夫考夫曼:你不需要語言教學! (Steve Kaufmann: You Don’t Need Language Instruction)
    • So, I don't think we can generalize.

      是以,我認為不能一概而論。

    • So I don't think we can generalize.

      是以,我認為不能一概而論。

    A2 初級

    沒有愛因斯坦,廣義相對論仍會被發現? (Why general relativity would’ve been discovered without Einstein | Sean Carroll)

    16:58沒有愛因斯坦,廣義相對論仍會被發現? (Why general relativity would’ve been discovered without Einstein | Sean Carroll)
    • Yang and Mills generalize the idea of electromagnetism to other symmetry groups and propose that this is an origin of the strong and weak nuclear forces.

      廣義相對論是愛因斯坦的偉大成就,而且確實是他的成就。

    B1 中級