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clr-policies

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fitushar / Cyclical-Learning-Rates-for-Training-Neural-Networks-With-Unbalanced-Data-Sets

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As the learning rate is one of the most important hyper-parameters to tune for training convolutional neural networks. In this paper, a powerful technique to select a range of learning rates for a neural network that named cyclical learning rate was implemented with two different skewness degrees. It is an approach to adjust where the value is c…

neural-network clr cnn range hyperparameters learning-rate expense cyclical-learning-rates epochs learning-rates clr-policies skewness-degrees
  • Updated Jan 19, 2019
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