In artificial neural networks, which function is applied to the weighted sum of inputs at a neuron to introduce non-linearity into the network model?
ACost Function
BActivation Function
CGradient Descent
DLoss Function
Explanation
Activation Functions (such as ReLU, Sigmoid, or Tanh) introduce non-linear mapping into neural networks, enabling them to learn complex non-linear patterns in data.
Exam Relevance
- Topic: Artificial Intelligence & Emerging Tech
- Subtopic: Deep Learning & Neural Networks
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