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Contouring learning rate to optimize neural nets

Tips and tricks for treating learning rate as a hyperparameter, and using visualizations to see what’s really going on. Learning rate is the rate at which the accumulation of information in a neural network progresses over time. The learning rate determines how quickly (and whether at all) the network reaches the optimum, most conducive location in the network for the specific output desired.
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