DL Basics

1.Markov Chain

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2.Gradient

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3.Gradient Descent

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4.Parameter & Hyper-parameter

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5.Backpropagation

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6.Softmax 함수

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7.엔트로피 (Entropy)

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8.Kullback–Leibler Divergence

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9.Focal Loss

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