Oct 16, 2023
The Sigmoid function is the most frequently widely used activation function in the beginning of deep learning. It is a smoothing function th
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The Sigmoid function is the most frequently widely used activation function in the beginning of deep learning. It is a smoothing function th
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【DeepLeaning】 活性化関数 シグモイド関数
Deep Learning とは何なのか・・・まったく知らない状態から挑戦してみたいと思います！ シグモイド関数 シグモイド関数は、数学的には以下のように定義されます。 f(x) = 1 / (1 + e^(-x)) ここでeは自然対数の底で、xは入力値を表します。 また以下の式と等価です。 h(x) = 1/ 1 + exp(-x) 左オペランドの不思議 左オペランドのf(x) とh(x)は関数名(と引数)のようなものなのでなんでも良いそうです。 なのでh(x) = 1/ 1 + exp(-x) は f(x) = 1/ 1 + exp(-x)…
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