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Leopd
  • Member for 12 years, 3 months
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Explanation of Spikes in training loss vs. iterations with Adam Optimizer
This answer is misleading. It says that SGD implies batch_size=1, which might be true in some old textbooks, but is just plain wrong in modern practice. Everybody uses minibatches with SGD because GPUs. I agree that full batch gradient descent is smoother, but in modern practice most interesting datasets are too large for for full batch GD.
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What does it mean exactly, to "build a statistical model" of, say, a series of images?
With context we can better speculate what they mean, but it is still just speculation.
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