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What will happen if the learning rate is set too low or too high?
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Answer / Ajay Pratap Singh
If the learning rate is set too low, the training process may take a very long time to converge on an optimal solution. On the other hand, setting the learning rate too high can cause the model to overshoot the optimal solution and result in unstable training or convergence to a suboptimal local minimum. The optimal learning rate typically varies depending on the specific problem and architecture.
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