A double-Bayesian framework derives an optimal learning rate for neural network training via two antagonistic Bayesian processes.
Practical recommendations for gradient-based training of deep architectures,
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Training Neural Networks with Optimal Double-Bayesian Learning
A double-Bayesian framework derives an optimal learning rate for neural network training via two antagonistic Bayesian processes.