In the context of neural networks, the function used to quantify how far the predicted output is from the actual output is termed as _______.
- Activation Function
- Cost Function
- Gradient Descent
- Loss Function
In neural networks, the term you're looking for is the 'Loss Function.' This function quantifies the difference between the predicted output and the actual output, helping the network learn and improve its predictions during training.
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