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What is the role of 'loss functions' in training neural networks?
Verified Answer
To increase the learning rate
Quiz Options
- To increase the learning rate
- To measure the error or 'loss' between the predicted output and the actual target, guiding the optimization process
- To initialize the network weights
- To determine the number of hidden layers
Explanation & Context
Loss functions quantify the error of a model's predictions, providing a target for the optimization algorithm to minimize during training.
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"Which is the role of 'loss functions' in training neural networks?"
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