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Table 2 Hyperparameters for DEEPLYESSENTIAL

From: DeeplyEssential: a deep neural network for predicting essential genes in microbes

Parameters Range Selected parameter
# hidden layers [2 - 8] 6
# nodes [32, 64, 128, 512, 1024, 2048] 128, 256, 512, 1024, 1024, 1024
Dropout rate [0.1 - 0.5] 0.3
Epochs 100 (early stopping)
Optimizer sgd, adam, adadelta, RMSProp adadelta