GoOD 基礎機器學習。Programming 任何語言的技能(最好是 Python/R)。
本課程是 Deep Learning 的一般概述,沒有深入探討任何具體方法。它適合想要開始使用深度學習來提高預測準確性的人。
- 反向傳播、模組化模型
- Logsum 模組
- RBF 網
- MAP/MLE 丟失
- 參數空間變換
- 卷積模組
- 基於梯度的學習
- 用於推理的能量
- 學習目標
- 主成分分析、NLL
- 潛在變數模型
- 概率 LVM
- 損失函數
- 手寫識別
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