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Results tagged with adam
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user 51352
For questions about Adam, a gradient-based optimization algorithm widely used to train neural networks. It was proposed in the paper "Adam: A Method for Stochastic Optimization" (2014) by Diederik P. Kingma and Jimmy Ba.
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Do learning rate schedulers conflict with or prevent convergence of the Adam optimiser?
An article on https://spell.ml says
Because Adam manages learning rates internally, it's incompatible with most learning rate schedulers. … I have found the same convergence issues in my own work when using both Adam and a StepLR scheduler. …
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