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Results tagged with hyperparameter-optimization
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user 37150
For questions related to the concept of hyper-parameter optimization, that is, the task of finding the best hyper-parameters for a particular learning algorithm (e.g. gradient descent) or model (e.g. a multi-layer neural network) using an optimization method (e.g. Bayesian optimization or genetic algorithms).
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How does stochastic gradient descent undo the normalization done by the batch normalization?
I want to understand the handshake between SGD (or mini-batch GD) and batch normalization. Below, an explanation quoted from this Medium article. However, I am confused about the denormalization by th …
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