Question: What is the role of the optimizer in training a neural network?Answer: The optimizer is responsible for updating the model's parameters during training to minimize the loss function. Common optimizers include stochastic gradient descent (SGD), Adam, and RMSprop. The choice of optimizer can significantly impact the convergence and performance of a model. |
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