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QWhat does the term "Activation Function" signify in AI?

ID: #11126 Definitions 107 views
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  • A The process of mimicking human behavior in machines ✔ ✖
  • B The study of algorithms and data structures ✔ ✖
  • C A mathematical function applied to the output of a neuron in a neural network ✔ ✖
  • D The development of speech recognition systems ✔ ✖
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A Loss Function is a function that measures the difference between the predicted output and the true output in a machine learning model. It quantifies the model's performance and provides feedback on how well it is approximating the desired output. The choice of a loss function depends on the learning task, such as mean squared error (MSE) for regression problems or cross-entropy loss for classification problems. The model aims to minimize the loss function during the training process.

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