This is a great question that many deep learning practitioners grapple with! For your scenario with millions of samples, I'd definitely lean towards stochastic gradient descent (SGD). The main advantage is its ability to make quicker progress with each update, especially early on, since it doesn't need to compute the…
Answered Jul 6, 2026 · 1.8K Views Read answer →
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