<ul><li>The activation function is a central component in every neural network.</li><li>It determines how strongly a neuron in the network is activated and thus decides which structures are learned from the data.</li><li>This article explores the properties of activation functions and compares commonly used functions.</li><li>Tips are provided on how to choose the right activation function for a network architecture and specific use case.</li></ul>

Activation Functions in Neural Networks: How to Choose the Right One

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