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Table 3 Hyper-parameters for multi-species models (models 8–9)

From: Inferring mammalian tissue-specific regulatory conservation by predicting tissue-specific differences in open chromatin

Hyper-Parameter

Hyper-Parameter Value

Number of Filters per Convolutional Layer

350

Width of Convolutional Filters

7

Stride of Convolutional Filters

1

Number of Convolutional Layers

5

Dropout for Each Convolutional Layer

0.2

L2 Regularization for Each Convolutional Layer

0.00001

Max-Pooling Width

26

Max-Pooling Stride

26

Number of Units in First Fully Connected Layer

300

Optimizer

Stochastic Gradient Descent

Learning Rate

0.001

Momentum

0.99 (Nesterov)

Batch Size

100

Class-Weighting

Fraction of Examples in the Other Class