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The activation function is a key component in making deep learning possible. Function Domain Range ; f(x) = x (-∞ , + ∞) (-∞ , + ∞) f(x) = x 2. Neural Network很有可能在Training data上就训练不好，这不叫Overfitting，是我们还没有训练好；在Training data上表现好，而在Testing data上表现不好才是. In this article we will take a look at some of the common activation functions in deep learning applications as well as why they are used. In order to effectively achieve garbage classification, a lightweight garbage object detection model based on deep.