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逢甲大學 AQI 51 24°C PM2.5 8
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Deep Learning

深度學習

神經網路、CNN、RNN 到 Transformer——當代 AI 的引擎。

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All 深度學習 (3) 研究 (3) CNN (1) RNN (1) Transformer (1) 反向傳播 (1) 注意力 (1) 神經網路 (1)
神經網路與反向傳播：深度學習的引擎 illustration
神經網路與反向傳播：深度學習的引擎

模仿神經元的數學結構，如何自己「學會」辨識世界。

研究 · 約 14 minute(s) · 深度學習、神經網路、反向傳播、研究
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CNN 與 RNN：看影像與讀序列的兩種網路 illustration
CNN 與 RNN：看影像與讀序列的兩種網路

Transformer 出現之前，撐起深度學習的兩大主力架構。

研究 · 約 13 minute(s) · 深度學習、CNN、RNN、研究
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Transformer 與注意力機制：當代 AI 的轉捩點 illustration
Transformer 與注意力機制：當代 AI 的轉捩點

一篇 2017 年的論文，如何開啟了 ChatGPT 的時代。

研究 · 約 15 minute(s) · 深度學習、Transformer、注意力、研究
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AI reading TA正在陪你讀：深度學習（分類總覽）
Hi! I’m the TA for this article’s shared reading, and I can only answer based on the content of “深度學習（分類總覽）”. You can ask me to “explain a passage”, “give an example”, or “quiz me”, or highlight a passage in the text and tap “Explain selected passage” below.