KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images

Table 3 Parameters tuned during the training phase using grid search

Parameter	Values evaluated
Learning rate (Lr)	{0.1, 0.01, 0.001, 0.005, 0.001, 0.0001}
Decay rate	{0.1, 0.6}
Annealing rate step	{10, 25}
Data augmentation (augmentation)	{Yes: 1, No: 0}
Batch size (batch)	{4, 16, 32}

The names in parentheses indicate the parameter name abbreviation used in the main text and figures

ISSN: 1758-2946