Regulation of gene expression occurs through binding of proteins called transcription factors (TFs) to the DNA. I will show how CNN models can be trained to predict experimental outcomes, how the prediction can be attributed to the elements of the input, and how to perform multitask learning with a bigger dataset and regularise a high-dimensional classification problem.