Optimizer 7. AdaDelta

An optimizer in Machine Learning (ML) is an algorithm that adjusts the parameters (weights and biases) of a model to minimize the loss function and improve accuracy. Optimizers guide the learning process by determining how the model updates its parameters based on the gradient of the loss function.

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