The _______ algorithm is used to optimize the weights in a neural network by minimizing the error in the output layer.
- Gradient Descent
- K-Means
- Principal Component Analysis
- Random Forest
Gradient Descent is the optimization algorithm commonly used to train neural networks. It minimizes the error (often measured by a loss function) in the output layer by iteratively adjusting the weights. This process helps the network learn and improve its predictions.
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