When should I use Adam over SGD?
Adam is generally preferred for complex models and datasets due to its adaptive learning rates.
What are the main differences between Adam and SGD?
Adam combines the benefits of AdaGrad and RMSProp, while SGD uses a fixed learning rate.
Are there specific scenarios where SGD performs better?
Yes, SGD can perform better in scenarios with a lot of data and when fine-tuning models.
Can I switch between Adam and SGD during training?
Yes, you can switch optimizers, but it's important to monitor performance closely.
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