Fig. 2From: Accuracy of machine learning for differentiation between optic neuropathies and pseudopapilledemaSchematic view of Bayesian optimization. Seven hyper-parameters were tuned using Bayesian optimization: learning rate, activation function, number of convolution layers, convolution patch size, filter size, number of fully connected layers, and number of hidden nodes in each fully connected layerBack to article page