relu - hidayatul mustafid terjemah pdf
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ReLU is a piecewise linear activation function that will output the input directly if it is positive, otherwise, it will output zero. It has become the default activation function for many types of neural networks because it overcomes the vanishing gradient problem and allows models to learn faster and perform better. Learn how to implement, use, and extend ReLU with examples and tips. bet303 slot