The Glacius Blog
Worked explanations of the mathematics behind machine learning, with diagrams and calculations you can follow.
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Follow one training step by hand to see how backpropagation calculates gradients, how gradient descent uses them, and where the learning rate enters the calculation.
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Why gradient descent oscillates: a visual, worked example showing convergence, overshooting, and divergence as the learning rate changes.
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