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[Theme 03] Logistic Regression
[Theme 06] XOR / Perceptron / MLP
[Theme 07] Back Propagation/Gradient Descent
[Theme 08] Machine Learning tip
[Theme 09] Convolution
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'Basic ML' 카테고리의 다른 글
| [Theme 07] Back Propagation 설명 (0) | 2023.01.25 |
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| [Theme 06] Perceptron, XOR, MLP, Universal Approximation Theorem (3) | 2023.01.24 |
| [Theme 05] MLE (Maximum likelihood estimation) 을 통한 Loss (0) | 2022.07.05 |
| [Theme 04] Multinomial Logistic Regression (Softmax Regression) (0) | 2022.06.30 |
| [Theme 03] Logistic Regression (odds/logit/sigmoid/bce) (0) | 2022.06.07 |
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